Brunel is partnering with DataAnnotation to connect experienced Life Sciences professionals with an cutting-edge AI training program. This opportunity brings together deep scientific expertise and artificial intelligence to help evaluate and improve AI-generated content across the Life Sciences. Selected experts will contribute their knowledge to the development of high-quality, scientifically accurate AI systems.

This opportunity is designed for scientists and researchers with deep technical expertise across drug discovery, computational biology and bioinformatics, or experimental biology .

Engagement Details

Flexible schedule, unlimited hours, minimum 10 hours per week

Pay rate

$60–$125 USD/hour

Location

United States, Canada, United Kingdom, Ireland, and Australia

First step

2-hour skills assessment

Qualifications & Requirements

- Master’s or PhD — or a current PhD candidate — in Biology or a directly related field , including molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology. The degree must be completed in the U.S., Canada, Europe, the UK, or Australia.
- 3+ years of hands-on experience in the relevant subfield.




- Genuine availability for 30–40+ hours per week across the full 12 weeks .
- Full professional/native-level written and spoken English.
- Strong written communication skills and comfort working independently in a fully remote workplace.
- Comfort with ambiguity and strong attention to detail. Ability to orient within a company data package ranging from 100MB to 30GB+ and quickly build an accurate, deep working picture of it, especially when the science sits partly or wholly outside your own specialization.
- Ability to interpret feedback, judge which parts of it are actually correct, and apply it without hand-holding. When stuck, independently look for the answer rather than waiting for one.
- Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete.
- General familiarity with AI/LLM tools ; user-level familiarity is sufficient.
- Hands-on experience using large language models in life sciences professional work , with the judgment to distinguish a well-reasoned answer from a plausible-sounding but incorrect one.

📌 AI Trainer, Life Science (Canada)
🏢 Brunel
📍 Canada