Biology Specialist (Masters/PhDs)

Biology Specialist (Masters/PhDs) - AI Training
About The Role
What if your years of biology research and expertise could directly shape how AI understands life sciences — influencing everything from how it reasons about genetics to how it tackles cutting-edge problems in biotech and bioinformatics?
We're looking for credentialed biology experts to join Alignerr's network of domain specialists, working alongside leading AI research teams to train and refine the next generation of AI models. This is your opportunity to apply deep scientific knowledge in a flexible, high-impact role — without leaving your home.
This is a fully remote, flexible contract role designed for working scientists, researchers, and academics who want to contribute meaningfully to AI development on their own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Develop, solve, and critically review advanced biology problems with real-world scientific relevance
Apply your expertise in genetics, biotechnology, bioinformatics, or related disciplines to design complex, nuanced problem statements
Evaluate AI-generated scientific reasoning for accuracy, depth, and rigor
Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model performance
Ensure scientific clarity, precision, and intellectual depth across all deliverables
Work independently on task-based assignments — fully on your own schedule
Who You Are
Hold a Master's or PhD in Biology or a closely related field (Genetics, Molecular Biology, Bioinformatics, Biotechnology, etc.)
Deep subject-matter expertise in at least one of: genetics, biotechnology, or bioinformatics
Comfortable coding in Python or R for research or analytical tasks
Exceptionally clear written communicator — able to explain complex scientific concepts with precision
Detail-oriented and rigorous in your approach to scientific problems
Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
Prior experience with data annotation, data quality review, or AI evaluation workflows
Background in academic publishing, peer review, or scientific writing
Familiarity with AI tools or machine learning concepts as an end user
Cross-disciplinary expertise spanning multiple biology sub-fields
Why Join Us
Work on cutting-edge AI projects alongside the world's leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, substantive scientific work
Make a direct impact on how AI reasons about biology, medicine, and life sciences
Put your advanced degree to work in a high-value, intellectually stimulating role
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes