***This opportunity is intended for experienced Senior Python Engineers only****

Open to candidates in the North America, South America, Asia and Europe.
Please submit your CV in English and indicate your level of English proficiency.

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.

What this opportunity involves

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 - You must meet all the requirements in order to be considered for this project:

• 5+ years of professional experience with Python.
• Strong experience with FastAPI, pytest, and async/await.
• Hands-on experience with Docker, PostgreSQL, and CI/CD pipelines.
• Proven experience writing and maintaining automated tests (not just executing them).
• Full-stack experience with React and TypeScript is a plus.
• English proficiency at B2 level or higher.
• Availability to work 30+ hours per week.

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.

How it works

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

Hiring & Onboarding Process

The process is designed to move quickly and typically includes the following steps:

• App review and invitation to a virtual project introduction session (approximately 30 minutes)
• Platform registration and identity verification
• Technical assessment (approximately 35 minutes)
• Background check (completed at no cost to candidates)
• Onboarding and project-specific training tasks
• Begin production work!

Additional Requirements

• Willingness to complete identity verification as part of the onboarding process.
• Ability to complete a technical assessment.
• Willingness to join and participate in Discord, which will be used for project communication and updates.
• Successful completion of a background check is required prior to onboarding.
• Reliable internet connection and ability to communicate effectively in a remote environment.