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Mindrift is building a dataset to evaluate AI coding agents—assessing how well a model handles real‑world developer tasks. You will craft challenging tasks within realistic simulated environments: a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history.
The work demands designing tasks from intermediate states, writing tests that accept all valid solutions and reject incorrect ones, and iterating on tasks based on QA
We're building a dataset to evaluate AI coding agents – how well a model handles real‑world developer tasks.
You will 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.
Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.
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.