Opens LinkedIn
- Employment type
- Contract
- Experience level
- Entry, Junior · 0+ years
- Minimum education
- Master’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Montreal, Quebec, Canada
- Seniority
- Entry level
Job summary
Design challenging biology questions and step-by-step solutions, then evaluate AI-generated responses for scientific accuracy, depth, and reasoning quality. Collaborate with researchers to develop biology benchmarks and provide actionable feedback to improve AI performance.
Job details
Biology Masters – AI Data Trainer About The Role We're looking for biology professionals to help train and evaluate cutting-edge AI models. At Alignerr, we partner with the world's leading AI research labs — and we need sharp scientific minds to help these systems think more accurately about biology. This is a fully remote, flexible contract role where your advanced biology knowledge directly shapes how the next generation of AI understands life sciences. No AI background required — your expertise is what matters. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design challenging biology questions that rigorously test AI reasoning and scientific accuracy Develop clear, step-by-step model solutions grounded in sound scientific logic Evaluate AI-generated responses for correctness, depth, and quality of reasoning Collaborate with researchers to build and refine benchmarks spanning undergraduate to Masters-level biology Provide structured, actionable feedback that directly improves AI performance Who You Are Currently pursuing or have completed a Master's degree in Biology, Biotechnology, Biochemistry, or a closely related field Strong command of advanced biology concepts with sharp analytical and problem-solving skills Able to communicate complex scientific ideas clearly and precisely in writing Self-motivated and comfortable working independently in an asynchronous environment No prior AI experience required — we'll get you up to speed Nice to Have Experience with data annotation, data quality assessment, or evaluation systems Familiarity with scientific writing or academic benchmarking Background spanning multiple biology subfields (e.g., molecular biology, genetics, physiology, ecology) Why Join Us Work directly with industry-leading AI research teams on genuinely impactful projects Fully remote and flexible — work on your own schedule, from anywhere Contractor advantages: high autonomy, variety of projects, and global collaboration Contribute to meaningful work that advances how AI understands science Potential for ongoing contract renewals and expanded project opportunities
What you’ll do
Design challenging biology questions and step-by-step solutions, then evaluate AI-generated responses for scientific accuracy, depth, and reasoning quality. Collaborate with researchers to develop biology benchmarks and provide actionable feedback to improve AI performance.
Requirements
Applicants must be pursuing or have completed a master's degree in biology, biotechnology, biochemistry, or a closely related field, and demonstrate strong advanced biology knowledge and analytical skills. Clear scientific writing, self-motivation, and the ability to work independently in an asynchronous environment are required; prior AI experience is not necessary.
Benefits
- Flexible Schedule
- Remote Work
- High Autonomy
- Variety Of Projects
- Global Collaboration
- Potential Contract Renewals
- Expanded Project Opportunities
Listed skills
- Problem solving · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Advanced Biology
- Biotechnology
- Biochemistry
- Scientific Reasoning
- Analytical Thinking
- Problem-Solving
- Scientific Writing
- Question Design
- Model Evaluation
- Data Annotation
- Data Quality Assessment
- Benchmarking
- Clear Written Communication
- Independent Work
- Molecular Biology
- Genetics
Job areas
- Science & Research
- Technology
- Education
- Data & Analytics
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