Biology Expert (PhD) — AI Safety | $65-$70/hr Remote
Overview
We’re seeking PhD-level biologists to lend their expertise to an important mission: making advanced AI systems safer and more reliable. You’ll evaluate how well these models handle complex life‑science topics, from molecular biology to immunology, and help refine their responses. No previous AI experience is required — training on the evaluation workflow is provided.
What You'll Do5
- 1Design and write expert‑level prompts covering a wide range of specialized life‑science subjects.
- 2Evaluate model outputs for scientific accuracy, clarity, and responsible handling of sensitive content.
- 3Apply structured classification guidelines to categorize prompts and conversations appropriately.
- 4Provide detailed feedback on model responses to improve safety and scientific reliability.
- 5Collaborate with a team to identify areas where AI models may need deeper biological understanding.
Requirements4
- 1A PhD in biology or a closely related life‑science field (e.g., molecular biology, microbiology, virology, genetics, biochemistry, bioinformatics, synthetic biology, or immunology).
- 2Strong familiarity with current laboratory and computational techniques in your subfield.
- 3Excellent scientific reasoning and writing skills in English, with the ability to assess nuanced content.
- 4Sound judgment around biosecurity and the responsible handling of dual‑use information.
Who Should Apply
This role is ideal for biology PhDs who enjoy applying their deep scientific knowledge to critical, real‑world problems. You should be detail‑oriented, comfortable with ambiguity, and motivated by the goal of making AI safer. Curiosity about AI safety and a methodical approach to evaluation will serve you well.
Salary Insight
Hourly pay between $65 and $70, for a part‑time commitment of 15–25 hours per week (with flexibility up to 40 hours).
Application Tip
In your application, briefly describe a specific area of biology you’re most expert in and how your background could help catch subtle scientific inaccuracies in AI outputs.
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