ASP.NET Developers Jobs in Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

Role Overview <br>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does. <br>Tasks & Responsibilities <br>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP. <br>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring. <br>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace). <br>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached. <br>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head. <br>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made. <br>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case. <br>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does. <br>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls. <br>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client. <br>Write modular infrastructure as code (Terraform) for AI workloads on AWS. <br>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship. <br>Competencies <br>Can explain to a client, in plain language, why an agent made the tool call it made <br>Comfortable debugging a production LLM failure under time pressure, not just in a notebook <br>Can wire an MCP server into an agent and debug why a tool call didn't fire <br>Education, Experience & Language <br>Master's degree in Computer Science or equivalent <br>Previous experience building and shipping production ML/AI systems <br>Fluent in English and Arabic <br>Tools & Certifications <br>Strong Python engineering; comfort with AWS <br>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design <br>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases <br>Nice to have: AWS Certified Machine Learning Engineer – Associate, AWS Certified Generative AI Developer – Professional, AWS Certified Solutions Architect – Associate or Professional, AWS Certified Developer – Associate, AWS Certified Security – Specialty (relevant given our compliance posture) <br>To Apply visit: https://digicosolutions.bamboohr.com/careers/33

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what <strong>\"solved\"<\/strong> means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $150\/hr equivalent, depending on level and pace. Tasks are estimated at ~30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what <strong>\"solved\"<\/strong> means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $150\/hr equivalent, depending on level and pace. Tasks are estimated at ~30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <br> </p> <p> <span>The Company</span> </p> <p>Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience.</p> <p>Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers lives easier while continuously improving internal systems to deliver faster and at the best cost.</p> <p>If you re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we d love to hear from you.</p> <p> <br> </p> <p> <span>About the Role</span> </p> <p>Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a <span>Senior Backend Engineer (Platform &amp; DevOps) at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently.</span> </p> <p>In this role, you'll own services end-to-end from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience.</p> <p> <span>In this role, you will:</span> </p> <p> <br> </p> <p> <span>Backend Engineering</span> </p> <ul> <li>Collaborate with cross-functional teams to translate business requirements into scalable backend solutions.</li> <li>Design, develop, test, and maintain high-performance backend services using PHP (Laravel).</li> <li>Design and build RESTful APIs and microservices that power customer-facing and internal applications.</li> <li>Write clean, maintainable, and well-tested code following engineering best practices.</li> <li>Optimize application performance, database queries, caching strategies, and system scalability.</li> <li>Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability.</li> <li>Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices.</li> </ul> <p> <span>Platform &amp; DevOps</span> </p> <ul> <li>Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications.</li> <li>Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery.</li> <li>Manage containerized applications using Docker and Kubernetes.</li> <li>Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools).</li> <li>Improve system observability through monitoring, logging, alerting, and performance dashboards.</li> <li>Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.</li> <li>Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews.</li> <li>Implement security best practices for applications, infrastructure, secrets management, and access control.</li> <li>Continuously improve deployment processes, operational tooling, and developer experience across engineering teams.</li> </ul> <p> <br> </p> <p> <span>Key Qualifications</span> </p> <ul> <li>Bachelor s degree in Computer Science, Engineering, or a related field.</li> <li>6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices.</li> <li>Strong experience developing backend applications using <span>PHP (Laravel).</span> </li> <li>Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture.</li> <li>Experience designing and building RESTful APIs, distributed systems, and microservices.</li> <li>Strong experience with relational databases such as <span>PostgreSQL or MySQL, along with caching technologies such as Redis.</span> </li> <li>Strong hands-on experience with <span>AWS, including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS.</span> </li> <li>Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.</li> <li>Experience working with <span>Docker and Kubernetes in production environments.</span> </li> <li>Experience using Infrastructure as Code tools such as <span>Terraform or CloudFormation.</span> </li> <li>Strong understanding of Linux systems, networking fundamentals, and cloud security best practices.</li> <li>Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack.</li> <li>Experience owning production systems, participating in on-call rotations, and resolving production incidents.</li> <li>Strong communication skills with the ability to collaborate across teams and mentor engineers.</li> <li>Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence.</li> </ul> <p> <br> </p> <p> <span>Nice to Have</span> </p> <ul> <li>Experience with <span>Go, Python, or additional backend programming languages.</span> </li> <li>Experience with messaging and streaming technologies such as <span>Kafka, RabbitMQ, or AWS SQS/SNS.</span> </li> <li>Experience deploying serverless applications using AWS Lambda.</li> <li>Experience with Helm, ArgoCD, or GitOps workflows.</li> <li>Experience building Internal Developer Platforms (IDPs) or improving developer tooling.</li> <li>Experience with service mesh technologies such as Istio or Linkerd.</li> <li>Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms.</li> <li>AWS certifications are a plus.</li> </ul> <p> <br> </p> <p> <span>Why Toters?</span> </p> <ul> <li>Flexible work environment with hybrid-friendly roles.</li> <li>Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products.</li> <li>Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems.</li> <li>Collaborate with talented engineers in a culture of ownership, mentorship, and continuous learning.</li> <li>Direct impact on products used by thousands of customers every day.</li> <li>Competitive compensation package.</li> <li>Exclusive discounts on Toters orders.</li> <li>First-class medical insurance.</li> </ul></div></section>

<p>You will work across mobile application, website, social media and marketing materials to create a consistent, modern and user-friendly experience.</p><p>Responsibilities</p><ul><li>Design intuitive and modern UI/UX for the mobile e-wallet application</li><li>Design corporate and product website from concept to developer-ready layouts</li><li>Create wireframes, user flows, mockups and high-fidelity interfaces</li><li>Build interactive prototypes for new features and user journeys</li><li>Design responsive experiences for desktop, tablet and mobile</li><li>Improve existing screens based on usability and customer experience</li><li>Create and maintain a scalable design system and component library</li><li>Prepare developer-ready designs, specifications and assets</li><li>Work closely with software engineers to ensure accurate implementation of designs</li><li>Design social media content, campaigns and digital advertisements</li><li>Create presentations, brochures, corporate materials and other branded assets</li><li>Maintain and evolve visual identity across all digital and physical touchpoints</li><li>Ensure consistency in colors, typography, icons, spacing and overall brand language</li><li>Design both Arabic and English interfaces with proper RTL/LTR considerations</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Strong portfolio demonstrating UI/UX, web and graphic design work.</p><p>Excellent knowledge of Figma</p><p>Strong understanding of mobile app and responsive website design</p><p>Experience creating wireframes, prototypes and user journeys</p><p>Strong knowledge of UX principles and usability</p><p>Ability to build and maintain design systems and reusable components</p><p>Experience preparing designs and assets for developers</p><p>Strong typography, layout, branding and visual communication skills</p><p>Experience with Adobe Photoshop and Illustrator</p><p>Understanding of responsive design and basic web-development principles</p><p>Ability to design for both Arabic and English interfaces</p><p>Attention to detail and strong creative thinking</p><p>Ability to work in a fast-moving startup environment</p><p>Experience in fintech, banking, e-commerce or digital products is a strong plus.</p>

<p>Role Overview Help building, operating, and continuously improving the platforms and infrastructure that support our customers and consulting engagements on AWS. You will work closely with engineering teams to improve software delivery, infrastructure reliability, security, observability, scalability, and developer experience. The role combines AWS cloud infrastructure, Infrastructure as Code, CI/CD, container orchestration, automation, monitoring, and operational excellence. We are looking for someone who is comfortable taking ownership, solving problems systematically, automating repetitive work, and collaborating across engineering teams. Tasks &amp; Responsibilities Design, build, operate, and continuously improve infrastructure and platform services on AWS. Develop and maintain Infrastructure as Code to ensure consistent, repeatable, and auditable infrastructure provisioning. Build and improve CI/CD pipelines to enable reliable, secure, and efficient software delivery. Deploy and operate containerized applications using container orchestration platforms, primarily Amazon ECS. Build and maintain container-based deployment workflows using technologies such as Docker and Amazon ECR. Automate infrastructure provisioning, application deployments, configuration, and operational processes. Implement and maintain monitoring, logging, alerting, and observability solutions. Improve platform reliability, availability, scalability, performance, and resilience. Support engineering teams in deploying, operating, and troubleshooting applications running on AWS. Participate in incident response, root cause analysis, and continuous improvement activities. Identify operational risks, bottlenecks, and repetitive manual processes and propose improvements. Apply security best practices across AWS infrastructure, containerized workloads, CI/CD pipelines, secrets, access control, networking, and platform services. Contribute to AWS cost visibility, resource optimization, and cloud efficiency. Maintain clear technical documentation, operational procedures, runbooks, and architecture documentation. Collaborate with software engineers, architects, security teams, and other stakeholders to improve engineering standards and practices. Evaluate tools and technologies based on reliability, maintainability, security, scalability, operational complexity, and business value. Competencies Strong understanding of AWS cloud infrastructure and modern infrastructure engineering practices. Hands-on experience designing, deploying, or operating workloads on AWS. Experience with container technologies and container orchestration platforms, particularly Amazon ECS. Experience with Docker and containerized application delivery. Understanding of core AWS services and concepts including compute, networking, storage, identity and access management, security, monitoring, and highly available architectures. Experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, AWS CDK, or similar approaches. Understanding of CI/CD concepts and experience building or maintaining automated software delivery pipelines. Experience with scripting or programming for automation using languages such as Python, Bash, Go, or similar. Strong understanding of Linux systems, networking, DNS, load balancing, TLS, and common infrastructure concepts. Experience with monitoring, logging, metrics, alerting, and observability practices. Understanding of security principles including AWS IAM, secrets management, access control, vulnerability management, and secure infrastructure configuration. Ability to troubleshoot technical and operational problems across applications, infrastructure, networking, containers, and AWS services. Strong ownership mindset and ability to work collaboratively with engineering teams. Ability to communicate technical concepts clearly and document systems and processes effectively. Tools &amp; Certifications Experience with Amazon ECS and AWS-native container platforms. Familiarity with Kubernetes or Amazon EKS. Experience with GitOps practices and modern deployment automation. Experience with reliability engineering, SRE practices, SLIs, SLOs, and incident management. Experience with AWS cost management, optimization, and FinOps practices. Familiarity with AWS security services, governance controls, and security best practices. Experience building internal developer platforms or improving developer experience. Familiarity with databases, messaging platforms, caching systems, and distributed-system components. Knowledge of AWS Well-Architected principles and cloud architecture best practices.</p><p><strong>Desired Candidate Profile</strong></p><p>Previous experience in a similar role Bachelor's degree in Computer Science or related field Fluent in speaking &amp; writing, Arabic &amp; English</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p>The Senior Full Stack Developer is a full-time, on-site role based in Ras Beirut. This role is responsible for designing, developing, and maintaining robust web and mobile applications that power the company's software solutions. Day-to-day tasks include architecting scalable backend systems, developing responsive frontend interfaces, integrating third-party APIs, optimizing database performance, and collaborating with product managers and business analysts to translate requirements into technical solutions. The developer works on the complete software development lifecycle, from initial design and development through testing, deployment, and maintenance. The role also involves mentoring junior developers, conducting code reviews, identifying and implementing performance improvements, and contributing to the continuous evolution of the company's technology stack and development practices.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Candidates should possess strong expertise in full stack web development, including proficiency in both frontend and backend technologies.</li><li>Candidates should possess advanced knowledge of backend frameworks and languages such as Python, Node.js, Java, or similar, with experience building scalable APIs and microservices.</li><li>Candidates should possess advanced knowledge of frontend technologies including HTML5, CSS3, JavaScript, and modern frameworks such as React, Vue.js, or Angular.</li><li>Candidates should possess robust database design and optimization skills, with hands-on experience in relational databases such as MySQL, PostgreSQL, and NoSQL solutions.</li><li>Candidates should possess solid understanding of software architecture patterns, design principles, and best practices for building maintainable and scalable applications.</li><li>Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.</li><li>Minimum 5 years of professional experience in full stack web development or similar roles.</li><li>Experience with version control systems such as Git and familiarity with CI/CD pipelines and DevOps practices.</li><li>Strong problem-solving skills and the ability to debug complex technical issues efficiently.</li><li>Experience with cloud platforms such as AWS, Google Cloud, or Azure is an advantage.</li><li>Ability to work collaboratively in cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.</li><li>Demonstrated ability to mentor junior developers and contribute to team knowledge sharing and professional growth.</li></ul>

<p>The Senior Full Stack Developer is a full-time, on-site role based in Ras Beirut. This role is responsible for designing, developing, and maintaining robust web and mobile applications that power the company's software solutions. Day-to-day tasks include architecting scalable backend systems, developing responsive frontend interfaces, integrating third-party APIs, optimizing database performance, and collaborating with product managers and business analysts to translate requirements into technical solutions. The developer works on the complete software development lifecycle, from initial design and development through testing, deployment, and maintenance. The role also involves mentoring junior developers, conducting code reviews, identifying and implementing performance improvements, and contributing to the continuous evolution of the company's technology stack and development practices.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Candidates should possess strong expertise in full stack web development, including proficiency in both frontend and backend technologies.</li><li>Candidates should possess advanced knowledge of backend frameworks and languages such as Python, Node.js, Java, or similar, with experience building scalable APIs and microservices.</li><li>Candidates should possess advanced knowledge of frontend technologies including HTML5, CSS3, JavaScript, and modern frameworks such as React, Vue.js, or Angular.</li><li>Candidates should possess robust database design and optimization skills, with hands-on experience in relational databases such as MySQL, PostgreSQL, and NoSQL solutions.</li><li>Candidates should possess solid understanding of software architecture patterns, design principles, and best practices for building maintainable and scalable applications.</li><li>Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.</li><li>Minimum 5 years of professional experience in full stack web development or similar roles.</li><li>Experience with version control systems such as Git and familiarity with CI/CD pipelines and DevOps practices.</li><li>Strong problem-solving skills and the ability to debug complex technical issues efficiently.</li><li>Experience with cloud platforms such as AWS, Google Cloud, or Azure is an advantage.</li><li>Ability to work collaboratively in cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.</li><li>Demonstrated ability to mentor junior developers and contribute to team knowledge sharing and professional growth.</li></ul>

<p>The Senior Developer is a full-time, on-site role based in Ras Beirut. This role is responsible for designing, developing, and maintaining high-quality software solutions that address complex business challenges. Day-to-day tasks include writing clean and efficient code, implementing software features according to technical specifications, participating in code reviews and architectural discussions, troubleshooting and resolving technical issues, and collaborating with cross-functional teams to deliver robust solutions. The developer contributes to the entire software development lifecycle, from requirements analysis and design through implementation, testing, and deployment. The role also involves documenting code and technical solutions, identifying opportunities for process improvement and optimization, mentoring junior developers, and staying current with industry best practices and emerging technologies.</p><p><strong>Desired Candidate Profile</strong></p><p>Candidates should possess strong expertise in software development with proficiency in one or more programming languages such as Python, Java, C#, JavaScript, or similar.</p><p>Candidates should possess solid understanding of software design patterns, object-oriented programming principles, and best practices for writing maintainable and scalable code.</p><p>Candidates should possess robust problem-solving skills and the ability to analyze complex technical requirements and propose effective solutions.</p><p>Candidates should possess experience with version control systems such as Git and familiarity with collaborative development workflows.</p><p>Candidates should possess understanding of software testing methodologies, including unit testing, integration testing, and quality assurance practices.</p><p>Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.</p><p>Minimum 5 years of professional experience in software development or similar roles.</p><p>Experience with relational and non-relational databases and SQL or equivalent query languages.</p><p>Strong communication skills and the ability to work effectively in cross-functional teams and document technical solutions clearly.</p><p>Experience with API development and integration of third-party services is an advantage.</p><p>Familiarity with agile development methodologies and tools such as Jira or similar project management platforms.</p><p>Demonstrated ability to mentor junior developers and contribute to team knowledge sharing and professional development.</p>

<p>The Senior Developer is a full-time, on-site role based in Ras Beirut. This role is responsible for designing, developing, and maintaining high-quality software solutions that address complex business challenges. Day-to-day tasks include writing clean and efficient code, implementing software features according to technical specifications, participating in code reviews and architectural discussions, troubleshooting and resolving technical issues, and collaborating with cross-functional teams to deliver robust solutions. The developer contributes to the entire software development lifecycle, from requirements analysis and design through implementation, testing, and deployment. The role also involves documenting code and technical solutions, identifying opportunities for process improvement and optimization, mentoring junior developers, and staying current with industry best practices and emerging technologies.</p><p><strong>Desired Candidate Profile</strong></p><p>Candidates should possess strong expertise in software development with proficiency in one or more programming languages such as Python, Java, C#, JavaScript, or similar.</p><p>Candidates should possess solid understanding of software design patterns, object-oriented programming principles, and best practices for writing maintainable and scalable code.</p><p>Candidates should possess robust problem-solving skills and the ability to analyze complex technical requirements and propose effective solutions.</p><p>Candidates should possess experience with version control systems such as Git and familiarity with collaborative development workflows.</p><p>Candidates should possess understanding of software testing methodologies, including unit testing, integration testing, and quality assurance practices.</p><p>Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.</p><p>Minimum 5 years of professional experience in software development or similar roles.</p><p>Experience with relational and non-relational databases and SQL or equivalent query languages.</p><p>Strong communication skills and the ability to work effectively in cross-functional teams and document technical solutions clearly.</p><p>Experience with API development and integration of third-party services is an advantage.</p><p>Familiarity with agile development methodologies and tools such as Jira or similar project management platforms.</p><p>Demonstrated ability to mentor junior developers and contribute to team knowledge sharing and professional development.</p>

<p>Senior Graphic Designer/ UX/UI Designer Location: Lebanon Employment Type: Full-time, Permanent Work Model: Hybrid primarily remote with office attendance when required Working Schedule: Monday to Saturday, 9:00 AM 5:00 PM</p><p>The Senior Graphic Designer / UI/UX Designer will be responsible for taking projects from initial research and concept development through branding, UI/UX design, prototyping, developer handoff, and final production. The ideal candidate is someone who thinks beyond individual screens or visuals and can create scalable, reusable design systems while maintaining a consistent brand identity across multiple platforms.</p><p>Key Responsibilities</p><ul><li>Research competitors, industries, visual trends, and UX patterns using traditional and AI-assisted tools.</li><li>Develop concepts, visual directions, campaign ideas, and brand assets.</li><li>Build and maintain structured brand and design systems.</li><li>Create reusable Figma components, variables, templates, and responsive layouts.</li><li>Develop UI/UX designs and interactive prototypes for websites and digital products.</li><li>Use AI and rapid-prototyping tools to accelerate concept development and validation.</li><li>Produce high-quality marketing and brand assets using Adobe Photoshop and Illustrator.</li><li>Maintain visual consistency across websites, applications, presentations, social media, campaigns, and print materials.</li><li>Collaborate closely with software developers to ensure accurate design implementation.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Requirements</p><ul><li>Minimum 5 years of professional design experience.</li><li>Strong portfolio covering branding, graphic design, and UI/UX.</li><li>Advanced proficiency in Figma, including: Design systems, Variables and design tokens, Components and variants, Auto Layout, Responsive layouts, Prototyping, Developer handoff / Dev Mode</li><li>Strong understanding of UX principles and user-centered design.</li><li>Advanced proficiency in Adobe Photoshop and Illustrator.</li><li>Experience with AI-assisted creative tools such as Midjourney, Adobe Firefly, ChatGPT, or similar platforms.</li><li>Strong experience working with developers and translating designs into functional digital experiences.</li><li>Experience with rapid prototyping and design-to-code workflows is highly preferred.</li><li>Familiarity with Claude Code is strongly preferred.</li><li>Basic knowledge of HTML, CSS, JavaScript, React, or similar frontend technologies is an advantage.</li></ul><p>Additional Advantages</p><ul><li>Experience with any of the following would be considered a plus: After Effects, Premiere Pro, InDesign, Blender, 3D modelling and rendering, Product or architectural visualization, AI video and motion-generation tools.</li></ul>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p><strong>Mindrift<\/strong> connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>