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Biology Masters

Job in Warner Robins, Houston County, Georgia, 31088, USA
Listing for: Alignerr Corp.
Full Time position
Listed on 2026-10-02
Job specializations:
  • Research/Development
    AI Evaluation, Data Annotation/ AI Labeling
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 55000 USD Yearly USD 55000.00 YEAR
Job Description & How to Apply Below
About

The Role

We're looking for biology experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs — and we need people with deep scientific knowledge to help these systems reason better, solve harder problems, and produce more accurate results.

Biology Masters – AI Data Trainer

We're looking for biology experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs — and we need people with deep scientific knowledge to help these systems reason better, solve harder problems, and produce more accurate results.

If you have a Masters in Biology, Biotechnology, Biochemistry, or a related field, this is your opportunity to work at the frontier of AI — fully remotely, on your own schedule.

  • Organization:
    Alignerr
  • Type:
    Hourly Contract
  • Location:

    Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design challenging, advanced biology problems to rigorously test AI performance
  • Develop clear, step-by-step solutions grounded in scientific logic
  • Evaluate AI-generated outputs for accuracy, depth, and quality of reasoning
  • Collaborate with researchers to refine evaluation benchmarks spanning undergraduate through Masters-level biology topics
  • Provide structured, actionable feedback that directly improves AI models
Who You Are
  • Pursuing or holding a Masters degree in Biology, Biotechnology, Biochemistry, or a closely related field
  • Strong analytical and problem-solving skills across advanced biology domains
  • Able to communicate complex scientific concepts clearly and precisely in writing
  • Detail-oriented with a systematic approach to evaluating quality
  • Self-motivated and comfortable working independently and asynchronously
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, data quality assessment, or evaluation systems
  • Familiarity with large language models or AI research workflows

    Background spanning multiple biology subfields (e.g., molecular biology, genetics, physiology)
Why Join Us
  • Work directly on cutting-edge AI projects with top-tier research labs
  • Fully remote and flexible — work when and where suits you
  • Freelance perks: high autonomy, variety of tasks, and global collaboration
  • Make a tangible impact on how AI understands and communicates science
  • Potential for ongoing work and contract extension
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