Brunel
Life Sciences: AI Trainer

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Brunel and DataAnnotation Partnership
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
This is a 12-week AI training sprint, requiring genuine availability for 30 – 40+ hours per week throughout the full engagement.
Pay Rate
75/hr USD
Location
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
United States, Canada, the UK and Australia


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First Step
Paid skills assessment: 4 hours, $240 flat rate regardless of time taken
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 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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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