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Evaluate and debug AI coding-agent outputs as a contract data science annotator for Cohere

Cohere is hiring a part-time independent contractor (16 hrs/week minimum, 12-month contract) to evaluate data science and coding tasks — reviewing/debugging code, assessing agent trajectories, and labeling model outputs for accuracy. Expect questions on hands-on Python/SQL data science work, code review rigor, and judgment calls when grading ambiguous or imperfect AI-generated outputs.

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可能的面试形态

Initial resume/writing-sample screening, then a virtual annotation test (data science take-home + writing sample), then a video screen with the Operations team.

这场面试考什么

  • Hands-on Python data science (numpy, pandas, matplotlib, sqlite)
  • SQL syntax and query correctness
  • Code review and debugging judgment
  • Evaluating AI/agent-generated outputs for correctness
  • Clear, structured technical feedback and proofreading
  • Familiarity with coding agents and agent trajectories

常见提问方向

Walk me through a data science task you solved end-to-end in Python

Describe a time you found and fixed a subtle bug in someone else's code

How do you verify the correctness of a SQL query or generated script?

How would you evaluate whether an AI coding agent's output actually solved the task?

Tell me about giving structured, technical feedback on someone else's work

What have you noticed about where coding agents like Claude Code or Codex tend to go wrong?

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