School agent Jobs

Welcome and greet guests in a warm, professional, and courteous manner. <br>Perform check-in and check-out procedures accurately and efficiently. <br>Verify guest reservations, identification, payment details, and room preferences. <br>Provide guests with information about hotel facilities, services, restaurants, and local attractions. <br>Handle guest requests, inquiries, complaints, and special arrangements professionally. <br>Maintain a strong knowledge of room types, rates, promotions, hotel facilities, and current availability. <br>Coordinate with Housekeeping, Reservations, Concierge, Bell Desk, Engineering, and Food & Beverage to ensure smooth guest service. <br>Manage room keys, guest profiles, wake-up calls, messages, and other front office requests. <br>Process cash, credit card, and other payment transactions accurately. <br>Maintain accurate guest accounts and assist with billing discrepancies. <br>Promote hotel services and suitable upgrades while maintaining a guest-focused approach. <br>Ensure VIP, repeat, long-stay, and special-occasion guests receive personalized attention. <br>Handle telephone calls and correspondence professionally. <br>Follow hotel standards for guest privacy, security, safety, and confidentiality. <br>Maintain a clean, organized, and professional front desk area. <br>Record and communicate guest issues and special requests during shift handovers. <br>Assist in resolving guest complaints and escalate complex issues to the Front Office Supervisor or Manager. <br>Follow all hotel policies, procedures, and luxury service standards. <br>Perform other duties assigned by the Front Office Management. <br>Requirements <br>Previous experience in a front office or guest-service position, preferably in a 4- or 5-star hotel. <br>Hospitality or hotel management education is an advantage. <br>Excellent communication and interpersonal skills. <br>Fluent English; Arabic and French are strong advantages. <br>Professional appearance and excellent personal presentation. <br>Strong customer-service and problem-solving skills. <br>Ability to remain calm and professional under pressure. <br>Good computer skills and familiarity with hotel PMS systems such as Opera is an advantage. <br>Ability to work flexible shifts, including morning, evening, night, weekends, and public holidays. <br>Strong attention to detail and ability to multitask. <br>Positive attitude, teamwork, and a genuine passion for hospitality. <br>Key Competencies <br>Luxury guest service <br>Communication skills <br>Guest complaint handling <br>Attention to detail <br>Teamwork <br>Professionalism <br>Problem solving <br>Upselling skills <br>Cash and payment handling <br>Time management <br>Cultural awareness <br>Confidentiality and discretion

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Customer Support Specialist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> Role Overview We're hiring a Call Agent with experience in phone-based customer services or sales, as the first hire in an AI-augment call center.<br> This Call Agent will initially be responsible for handling livetransfer inbound calls for hotels, helping guests complete bookings and answer their general inquiries.<br> As we scale, this Call Agent will also collaborate with leadership in scaling to new workflows within the hotels market vertical, and to new market verticals, through testing and providing feedback on workflows, scripts, software tools, etc.<br> Key Responsibilities Deliver friendly, professional customer service on every call Completing live transfer inbound calls to hotels, answering guest inquiries and assisting them with booking Meet weekly call and conversion targets on bookings Log outcomes in CRM Solve problems on the fly with limited scripts As we scale, provide coaching and guidance to new call agents.<br> Required Qualifications Customer service and/or sales experience Strong problem-solving skills Strong English communication skills Comfortable with phone-based work/thick skin for rejection Comfortable working with evolving processes and structure.<br> Preferred Hotel or hospitality background Cold-calling experience.<br></span> </div>

Lancaster Eden Bay is looking for a Front Office Agent. The candidate should: monitor room availability, ensure that all front desk tasks are performed accurately and ensure high level of guest satisfaction. <br>Previous experience in a 5-star hotel, within the same role is needed <br>Flexible in a working shift <br>English is a must. French is a plus

<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 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for identifying sales prospects for insurance plans and managing a portfolio of clients. His/her main duty is meeting potential clients to grow the customers base by exploring clients needs and matching them with our products and services. Also accountable for handling policy renewals, and servicing client needs. The Sales Agent we are looking for should be a dedicated sales professional who is interested in building a client portfolio in the insurance industry.</p><p>Responsibilities</p><ul><li>Responsible for developing long term relationship with clients, assess their insurance needs and provide them with accurate solutions</li><li>Prospect for potential leads from different resources to build a database of prospective clients</li><li>Conduct daily client visits to assess potential insurance needs.</li><li>Ensure full submission of new applications with proper information and premium settlements</li><li>Ensure quality after-sales service in order to improve customer satisfaction, plan future follow-up visits and evaluation of needs</li><li>Complete Agent activity report on daily basis and review ratios with unit manager on weekly basis</li><li>Ensure proper completion of policy requirements by coordinating with the concerned departments</li><li>Update job knowledge by participating in trainings and maintaining personal networks</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in business administration or related field.</li><li>Minimum 2 years work experience in Sales, consulting, banking services, insurance, </li><li>Strong command of spoken and written English and Arabic</li></ul><p></p></section>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for identifying sales prospects for insurance plans and managing a portfolio of clients. His/her main duty is meeting potential clients to grow the customers base by exploring clients needs and matching them with our products and services. Also accountable for handling policy renewals, and servicing client needs. The Sales Agent we are looking for should be a dedicated sales professional who is interested in building a client portfolio in the insurance industry.</p><p>Responsibilities</p><ul><li>Responsible for developing long term relationship with clients, assess their insurance needs and provide them with accurate solutions</li><li>Prospect for potential leads from different resources to build a database of prospective clients</li><li>Conduct daily client visits to assess potential insurance needs.</li><li>Ensure full submission of new applications with proper information and premium settlements</li><li>Ensure quality after-sales service in order to improve customer satisfaction, plan future follow-up visits and evaluation of needs</li><li>Complete Agent activity report on daily basis and review ratios with unit manager on weekly basis</li><li>Ensure proper completion of policy requirements by coordinating with the concerned departments</li><li>Update job knowledge by participating in trainings and maintaining personal networks</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in business administration or related field.</p><p>Minimum 2 years work experience in Sales, consulting, banking services, insurance, </p><p>Strong command of spoken and written English and Arabic</p><p></p></section>

Role Description <br> <br>Responsible for identifying sales prospects for insurance plans and managing a portfolio of clients. His/her main duty is meeting potential clients to grow the customers’ base by exploring clients’ needs and matching them with our products and services. Also accountable for handling policy renewals, and servicing client needs. The Sales Agent we are looking for should be a dedicated sales professional who is interested in building a client portfolio in the insurance industry. <br> <br> <br>Responsibilities <br>-Responsible for developing long term relationship with clients, assess their insurance needs and provide them with accurate solutions <br>-Prospect for potential leads from different resources to build a database of prospective clients <br>-Conduct daily client visits to assess potential insurance needs. <br>-Ensure full submission of new applications with proper information and premium settlements <br>-Ensure quality after-sales service in order to improve customer satisfaction, plan future follow-up visits and evaluation of needs <br>-Complete Agent activity report on daily basis and review ratios with unit manager on weekly basis <br>-Ensure proper completion of policy requirements by coordinating with the concerned departments <br>-Update job knowledge by participating in trainings and maintaining personal networks <br> <br> <br>Qualifications <br> <br>-Bachelor’s degree in business administration or related field. <br>-Minimum 2 years’ work experience in Sales, consulting, banking services, insurance, <br>-Strong command of spoken and written English and Arabic

Role Description <br> <br>Responsible for identifying sales prospects for insurance plans and managing a portfolio of clients. His/her main duty is meeting potential clients to grow the customers’ base by exploring clients’ needs and matching them with our products and services. Also accountable for handling policy renewals, and servicing client needs. The Sales Agent we are looking for should be a dedicated sales professional who is interested in building a client portfolio in the insurance industry. <br> <br> <br>Responsibilities <br>-Responsible for developing long term relationship with clients, assess their insurance needs and provide them with accurate solutions <br>-Prospect for potential leads from different resources to build a database of prospective clients <br>-Conduct daily client visits to assess potential insurance needs. <br>-Ensure full submission of new applications with proper information and premium settlements <br>-Ensure quality after-sales service in order to improve customer satisfaction, plan future follow-up visits and evaluation of needs <br>-Complete Agent activity report on daily basis and review ratios with unit manager on weekly basis <br>-Ensure proper completion of policy requirements by coordinating with the concerned departments <br>-Update job knowledge by participating in trainings and maintaining personal networks <br> <br> <br>Qualifications <br> <br>-Bachelor’s degree in business administration or related field. <br>-Minimum 2 years’ work experience in Sales, consulting, banking services, insurance, <br>-Strong command of spoken and written English and Arabic

Role Description <br> <br>Responsible for identifying sales prospects for insurance plans and managing a portfolio of clients. His/her main duty is meeting potential clients to grow the customers’ base by exploring clients’ needs and matching them with our products and services. Also accountable for handling policy renewals, and servicing client needs. The Sales Agent we are looking for should be a dedicated sales professional who is interested in building a client portfolio in the insurance industry. <br> <br> <br>Responsibilities <br>-Responsible for developing long term relationship with clients, assess their insurance needs and provide them with accurate solutions <br>-Prospect for potential leads from different resources to build a database of prospective clients <br>-Conduct daily client visits to assess potential insurance needs. <br>-Ensure full submission of new applications with proper information and premium settlements <br>-Ensure quality after-sales service in order to improve customer satisfaction, plan future follow-up visits and evaluation of needs <br>-Complete Agent activity report on daily basis and review ratios with unit manager on weekly basis <br>-Ensure proper completion of policy requirements by coordinating with the concerned departments <br>-Update job knowledge by participating in trainings and maintaining personal networks <br> <br> <br>Qualifications <br> <br>-Bachelor’s degree in business administration or related field. <br>-Minimum 2 years’ work experience in Sales, consulting, banking services, insurance, <br>-Strong command of spoken and written English and Arabic

<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>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs 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 cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; 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> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>We're looking for a mid-level AI product engineer to join the RentWorks Plus team. You'll sit at the intersection of QA, AI automation, and product engineering — designing automated test suites, building intelligent workflows, and creating AI-powered tools that directly shape how our customers experience the product.</p> <h4>What you'll be doing</h4> <ul> <li>Design, build, and maintain automated end-to-end test suites using Playwright</li> <li>Write and maintain BDD-style tests using Cucumber (Gherkin)</li> <li>Build and manage N8N automation workflows for testing pipelines, customer support, sales, and internal ops</li> <li>Maintain an automated quality dashboard with scheduled test runs, health checks, and trend reporting</li> <li>Develop AI-powered features using Claude AI — smart test generation, failure triage, and support agents</li> <li>Evolve the RW+ AI customer support agent and HubSpot integrations</li> <li>Contribute to product features on the React front-end and NestJS back-end</li> <li>Collaborate with product and engineering teams to translate business needs into scalable automated solutions</li> </ul> <h4>Requirements</h4> <ul> <li>3–5 years of software engineering or QA automation experience</li> <li>Hands-on experience with Playwright or similar E2E testing frameworks</li> <li>Experience with Cucumber, Gherkin, or other BDD frameworks</li> <li>Proficiency in Python for scripting and automation</li> <li>Knowledge of Pytest, Jest, or Vitest for test automation</li> <li>Experience with API testing tools: Postman, Supertest, or REST Assured</li> <li>Familiarity with N8N or similar workflow automation tools</li> <li>Experience working with LLM APIs (Claude, OpenAI, or similar)</li> <li>Solid understanding of REST APIs, webhooks, and integration patterns</li> <li>Familiarity with CI/CD pipelines (GitHub Actions, Jenkins) for automated test integration</li> <li>Experience with test reporting tools such as Allure or HTML reporters</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with React and NestJS</li> <li>Familiarity with HubSpot integrations or CRM automation</li> <li>Experience with prompt engineering and AI agent design</li> <li>Familiarity with Docker, CI/CD, or DevOps basics</li> <li>Background in SaaS or B2B enterprise software</li> </ul> <h4>Bonus: Car rental domain knowledge</h4> <p>Candidates with car rental industry experience are strongly preferred:</p> <ul> <li>Experience building or working with car rental / fleet management software</li> <li>Knowledge of reservations, rental agreements, rate management, CDW/LDW/PAI, ACRISS classification</li> <li>Prior exposure to platforms like RentWorks, Thermeon, or similar RMS solutions</li> <li>Understanding of RevPAD, Direct Bill, or channel management concepts</li> </ul></p><p></p>

A Plastic company located in Mkalles is looking for a fresh technical school graduate holding a TS degree in Electricity or Production Mechanics to join its technical team

<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>

<p>Centre d tudes Horch Tabet recrute!</p><p>We are looking for a competent, serious and dynamic French Teacher to support secondary school students.</p><p>Schedule: Monday to Friday</p><p>Hours: from 16:00 to 19:30</p><p>Location: Horch Tabet</p><p><strong>Desired Candidate Profile</strong></p><p>We are looking for a competent, serious and dynamic French Teacher to support secondary school students.</p><p>An experience in tutoring is a plus.</p>