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Brunel

Global specialist staffing for engineering projects

AI Trainer: Life Sciences

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-time$60 - $125 /hr

About the Job

Requirements

  • A Master’s or PhD, or current PhD candidacy, 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.
  • At least 3 years of hands-on experience in the relevant subfield.
  • Full professional/native-level written and spoken English.
  • Strong written communication skills and the ability to work 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, including when the science falls partly or wholly outside the candidate’s specialization.
  • Ability to interpret feedback, judge which parts are correct, and apply it independently; when stuck, independently seek the answer.
  • Ability to ramp quickly on unfamiliar work using written material and instructions alone, including when the 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.

Responsibilities

  • Evaluate and improve AI-generated content across the Life Sciences.
  • Contribute scientific expertise to the development of high-quality, scientifically accurate AI systems.

About the Company

Brunel

Global specialist staffing for engineering projects

Brunel connects companies with a global network of specialists who fill on-demand technical and professional roles on a project basis. Clients request experts, and Brunel supplies engineers and professionals from its pool across 40+ countries, with divisions like Brunel Energy for oil and gas to enable scalable staffing. Founded in 1975 with an IPO in 1997, it has a large international footprint and broad sector coverage that supports multinational projects with local expertise. Its goal is to accelerate technological progress by giving companies flexible access to high-quality expertise while advancing engineers’ careers.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Amsterdam, Netherlands
Founded
1982

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