Freelance 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.

About the role

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

Requirements

• 5+ years in software development
• Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
• Experience writing tests (functional, integration)
• English proficiency—B2+
• Educational qualifications: A Masters 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. A Bachelors degree is accepted if the candidate has 5 years of experience in the field.
• Minimum of 3 years of professional experience in related roles or domain—specifically for QA-automation/testing or cybersecurity roles

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.

Benefits

• Take part in a part-time, 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.
• Influence how future AI models understand and communicate in your field of expertise.

Pay

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks—up to the equivalent of $30/hr. Because payment is per task, a faster pace raises your effective hourly rate.

Originally posted on Himalayas