Biology experts with Master's or PhD training solve advanced life-science problems and critique AI reasoning. It suits detail-oriented researchers who are comfortable with Python or R.
About the role
Biology Expert (AI Training)
About the Role
What if your years of graduate-level biology training could directly shape how AI understands genetics, biotechnology, and the life sciences? We're looking for Biology Experts — Masters and PhD holders — to solve advanced scientific problems that teach cutting-edge AI models how to reason like a domain expert.
This is a fully remote, flexible contract role built for researchers and scientists who want to apply their expertise in a new and impactful way. No AI background needed — just deep biological knowledge and the ability to communicate complex ideas with precision.
- Organization : Alignerr
- Type : Hourly Contract
- Location : Remote
- Commitment : 10–40 hours/week
- Commitment : 10–40 hours/week
- Develop, solve, and critically review advanced biology problems with real-world scientific relevance
- Apply your expertise in genetics, biotechnology, bioinformatics, or related fields to design challenging, nuanced problem statements
- Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI model reasoning and scientific accuracy
- Ensure scientific rigor, clarity, and depth across all deliverables
- Use Python or R where relevant to support quantitative or bioinformatic tasks
- Use Python or R where relevant to support quantitative or bioinformatic tasks
- Master's or PhD in Biology or a closely related field — Genetics, Molecular Biology, Bioinformatics, Biotechnology, or equivalent
- Strong working knowledge of at least one core area: genetics, biotechnology, or bioinformatics
- Comfortable coding in Python or R for research or analytical tasks
- Exceptional written communicator — you can explain complex science clearly and precisely
- Detail-oriented and methodical, with a commitment to scientific accuracy
- Fluent in English
- Fluent in English
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in computational biology or experience working with large biological datasets
- Familiarity with scientific writing, peer review, or research publication
- Experience bridging experimental and computational biology
- Experience bridging experimental and computational biology
- Work on cutting-edge AI projects alongside leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based scientific work
- Make a direct, tangible impact on how AI understands and reasons about the life sciences
- Potential for ongoing work and contract extension as new projects launch
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