What is an AI data evaluation project?
AI companies building tools for drug discovery and development need real experts to check whether their models get the science right. As an AI evaluator, you apply your expertise to review, test, and improve how these tools perform.
The work: Typical tasks include:
Reviewing AI-generated answers for scientific accuracy and flagging errors.
Writing challenging, expert-level questions and model answers in your field.
Comparing responses and explaining which is better and why.
Identifying where a tool’s reasoning could mislead a scientist or clinician.
No AI or coding background is needed. Your domain knowledge is what matters.
Time commitment: Usually ranges from short micro-tasks to ongoing 5–20 hours per week engagements, fully remote and largely self-paced. You choose when you work, which makes it easy to fit around existing commitments.
Duration: Projects typically run 2 weeks to 3 months. Many clients extend or rehire strong reviewers for follow-on work.
Getting started: You’ll usually complete a short paid onboarding task to learn the client’s guidelines and quality standards before starting.
Pay: Hourly, with rates that vary by expertise and project complexity.
Confidentiality: All projects are covered by confidentiality agreements. Your work helps shape AI tools, and you won’t be asked to share proprietary information from your own employers or clients.
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