Freelance AI Evaluation Engineer (Python/Full-Stack)

What this opportunity involves

• Create challenging coding test cases that push AI coding systems to their limits
• Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources
• Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks
• Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required)
• Analyze AI failures to understand what the model struggles with vs. what it masters
• Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria

What we look for

• Degree in Computer Science, Software Engineering or related fields
• 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations)
• Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems
• Experience writing tests (functional, integration – not just running them)
• Docker containers (running evaluations locally in containers)
• CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results)
• English proficiency - B2

How it works

• Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Effort estimate

Tasks for this project are estimated to take 20 hours to complete, depending on complexity.

Compensation

On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.