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Freelance Agent Evaluation Engineer

Pubblicato il 04-10-2026 - Mindrift in Lazio

Please submit your CV in English and indicate your level of English proficiency.Continui a leggere per scoprire di cosa avrà bisogno per avere successo in questa posizione, incluse competenze, qualifiche ed esperienza.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.We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.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 historyDesign tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agentWrite tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenientIterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robustWhat this is NOT:Not data labelingNot prompt engineeringNot writing code from scratch - the agent writes most of the code; you guide and evaluateWhat we look for:5+ years in software developmentCore stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, RedisExperience writing tests (functional, integration)English proficiency - B2+Why this is hard: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.Requirements and benefitsEducational qualificationsA Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.Bachelor's degree is accepted if only candidate has 5 years of experience in the field.Academic and/or Professional ExperienceCandidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles.How it worksApply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paidCompensation:Paid per accepted task.
Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $40/hr.
Because payment is per task, a faster pace raises your effective hourly rate.Why this freelance opportunity might be a great fit for you?
Take part in a tempo parziale, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.
xysqume - Influence how future AI models understand and communicate in your field of expertise.
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