Agent Evaluation Engineer

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 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. Creating a task that genuinely challenges the best models is non-trivial. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. Requirements and benefits Educational qualifications - A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, AI / ML, Computational Linguistics / NLP, Information Systems or related fields. - Bachelor’s degree accepted if candidate has 5 years experience. Academic/Professional Experience - Minimum of 3 years in related roles or domain - QA-automation/testing or cybersecurity How it works: Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task up to $50/hr; remote, part-time; faster pace increases effective rate Why this freelance opportunity might be great: part-time, remote, freelance; work on advanced AI projects; gain portfolio value; influence how AI models understand and communicate in your field.