Your scientific knowledge will directly shape how AI reasons through complex biological concepts — from molecular mechanisms to systems-level thinking.
This is a unique opportunity to work at the intersection of life science and cutting-edge AI research, all from the comfort of your own home on a schedule that works for you.
Why Join Us
Work on cutting-edge AI projects alongside top research labs and institutions.
Fully remote and flexible — work when and where you choose.
Freelance perks: autonomy, variety, and the ability to work from anywhere in the world.
Directly contribute to the development of AI that understands science at a deeper level.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Design challenging, graduate-level biology questions to rigorously test AI reasoning and knowledge.
Develop clear, step-by-step solutions with scientifically sound logic and explanations.
Evaluate AI-generated responses for accuracy, depth, and quality of scientific reasoning.
Collaborate with researchers to refine benchmarks spanning undergraduate to Masters-level biology.
Provide structured, actionable feedback that directly improves AI model performance.
Required skills
Strong scientific reasoning and problem-solving skills across advanced biology domains.
Able to communicate complex concepts clearly and precisely in writing.
Detail-oriented with a commitment to accuracy and rigor.
Self-motivated and comfortable working independently and asynchronously.
Preferred skills
Experience in data annotation, data quality, or evaluation workflows.
Background in research, lab work, or academic writing.
Familiarity with areas such as genetics, cell biology, physiology, or biochemistry.
Experience and education
Currently pursuing or holding a Master's degree in Biology, Biotechnology, Biochemistry, or a closely related field.
No prior AI experience required — we'll get you up to speed.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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