Biology Masters

Alignerr Corp.

Auckland

Remote

NZD 49,000 - 98,000

Part time

5 days ago
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Job summary

Alignerr is seeking Biology Masters graduates or current students to help train and evaluate AI models in life sciences. Your biology knowledge will shape how AI understands complex problems, with no AI background required.

This is a remote hourly contract (10–40 hours per week). You will design challenging biology questions, develop step-by-step solutions, and provide feedback to improve model performance across undergraduate to Masters-level biology.

Qualifications

  • Currently pursuing or holding a Masters degree in Biology, Biotechnology, Biochemistry, or a closely related field
  • Strong reasoning and problem-solving skills across advanced biology domains
  • Able to explain complex scientific concepts clearly and concisely in writing
  • Detail-oriented, self-motivated, and comfortable working independently
  • No prior AI or machine learning experience required

Responsibilities

  • Design challenging, advanced biology questions to rigorously test AI performance
  • Develop clear, step-by-step solutions with well-structured scientific reasoning
  • Evaluate AI-generated outputs for accuracy, logic, and depth of biological understanding
  • Collaborate with researchers to refine benchmarks spanning undergraduate to Masters-level biology
  • Provide structured written feedback that helps improve AI model quality over time

Skills

Strong reasoning
Clear written communication

Education

Masters degree in Biology or related field

Job description

About The Role

We're looking for Biology Masters graduates and current students to help train and evaluate cutting-edge AI models. At Alignerr, we partner with the world's leading AI research labs - and we need subject-matter experts like you to make AI smarter, more accurate, and more rigorous in the life sciences.

Biology Masters - AI Data Trainer

We're looking for Biology Masters graduates and current students to help train and evaluate cutting-edge AI models. At Alignerr, we partner with the world's leading AI research labs - and we need subject-matter experts like you to make AI smarter, more accurate, and more rigorous in the life sciences. Your biology knowledge will directly shape how the next generation of AI understands and reasons through complex scientific problems. No AI background needed - just a strong grasp of biology and a sharp analytical mind.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10-40 hours/week
What You'll Do
  • Design challenging, advanced biology questions to rigorously test AI performance
  • Develop clear, step-by-step solutions with well-structured scientific reasoning
  • Evaluate AI-generated outputs for accuracy, logic, and depth of biological understanding
  • Collaborate with researchers to refine benchmarks spanning undergraduate to Masters-level biology
  • Provide structured written feedback that helps improve AI model quality over time
Who You Are
  • Currently pursuing or holding a Masters degree in Biology, Biotechnology, Biochemistry, or a closely related field
  • Strong reasoning and problem-solving skills across advanced biology domains
  • Able to explain complex scientific concepts clearly and concisely in writing
  • Detail-oriented, self-motivated, and comfortable working independently
  • No prior AI or machine learning experience required
Nice to Have
  • Experience with data annotation, quality evaluation, or scientific peer review
  • Familiarity with large language models or AI evaluation workflows
  • Background spanning multiple biology disciplines (e.g., molecular biology, ecology, physiology)
Why Join Us
  • Work directly on cutting-edge AI projects alongside top research labs
  • Fully remote and asynchronous - work on your own schedule, from anywhere
  • Freelance flexibility: high autonomy, variety of projects, and global collaboration
  • Meaningful work that shapes how AI handles real scientific reasoning
  • Strong potential for ongoing contracts and expanded project involvement
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