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Mindrift is building a dataset to evaluate AI coding agents by creating realistic developer environments and evaluation tasks. You design prompts, define success criteria, and write tests that accommodate multiple correct approaches.
This role focuses on guiding task quality, not writing full code from scratch, with engagement-based compensation. The project requires 8+ years in software development and experience writing tests, plus the ability to craft fair, robust evaluation scenarios and
Industry Information Technology Enabled Services (ITES)
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:
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.
Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Compensation details are provided upon engagement. Tasks are estimated at approximately 30 hours each; you set your own schedule.