Your scientific knowledge will directly shape how AI understands and reasons through complex biology problems — from cell biology to biochemical pathways to molecular genetics.
This is a unique opportunity to work at the intersection of life sciences and artificial intelligence, partnering with world-leading AI research labs — all from the comfort of your own home, on your own schedule.
Why Join Us
Work on cutting-edge AI projects with top-tier research labs and institutions.
Fully remote and flexible — set your own hours, work from anywhere.
Freelance perks: high autonomy, variety of tasks, and global collaboration.
Make a meaningful contribution to how AI understands science.
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.
Identify weaknesses in AI outputs and provide structured, actionable feedback.
Collaborate with researchers to build and refine benchmarks spanning undergraduate through Masters-level biology topics.
Work independently and asynchronously on your own schedule.
Required skills
Strong command of advanced biology concepts across multiple domains (e.g., molecular biology, genetics, physiology, ecology, microbiology).
Able to break down complex scientific ideas into clear, precise written explanations.
Detail-oriented with a commitment to scientific accuracy.
Self-motivated and comfortable working independently.
Preferred skills
Experience in academic writing, tutoring, or curriculum development.
Background in data annotation, quality evaluation, or research methodology.
Familiarity with AI tools or language model workflows.
Experience and education
Pursuing or holding a Master's degree (or higher) in Biology, Biotechnology, Biochemistry, or a closely related field.
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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