AI Trainer: Life Sciences

Brunel; New York (NY); Remote; USD 83,000 - 172,000; Full time

Job summary

Brunel partners with DataAnnotation to connect life sciences experts with an AI training program that evaluates and improves AI-generated content. This engagement seeks scientists with deep expertise across drug discovery, computational biology, bioinformatics, or experimental biology.

Selected experts contribute to high-quality, scientifically accurate AI systems while working remotely on a flexible schedule, with a pay rate of $60–$125 per hour and minimum 10 hours per week.

Qualifications

• Master’s or PhD in Biology or a related field (completed in US/Canada/Europe/UK/Australia).
• 3+ years hands-on experience in the relevant subfield.
• Full professional/native-level English.
• Comfort with remote, independent work in a data-driven environment.
• Familiar with AI/LLM tools in life sciences.

Skills

Life sciences experience

English proficiency

Independent remote work

AI/LLM tools familiarity

LLM usage in life sciences

Education

Biology-related master/PhD

Tools

AI/LLM tools

Job description

Brunel is partnering with DataAnnotation to connect experienced Life Sciences professionals with an innovative 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

• Engagement: 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, orAustralia.
• 3+ years of hands‑on experience in the relevant subfield.
• Full professional/native-level written and spoken English.
• Strong written communication skills and comfort working independently in a fully remote environment.
• 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.