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Mindrift is building a dataset to evaluate AI coding agents. You will assemble realistic developer environments, including codebases, infrastructure, tickets, docs, and conversations to form a believable development history.
You will design tasks from intermediate states, write tests to verify agent solutions, and iterate on tasks and tests based on QA feedback to ensure fairness and robustness across valid approaches.
We’re building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
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.
Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.