Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Subject Matter Expert - AI Evaluation (UK-Remote)

Braintrust
Cambridge
1 day ago
Create job alert

Job Description:

Seeking multiple Data Science Subject Matter Experts to help design, run, and optimize data collection and evaluation workflows for GenAI research.


You’ll translate high-level research needs into scalable processes, produce and curate challenging domain problems, and ensure factual, bias-aware, high-quality datasets for LLM training.


  • To Note: This is for an immediate project need. Project is approved for 3-months initially, with possibility to extend based on project/client demands.


  • To Note: Hourly rate range (75 - 90) is in USD per hour


Responsibilities:

  • Partner with GenAI researchers/engineers to capture data needs and success criteria.
  • Expand high-level requirements into clear, executable workflows for larger teams.
  • Execute collection/evaluation workflows rapidly with minimal supervision.
  • Innovate on workflows to maximize throughput and quality.
  • Collaborate cross-functionally to maintain quality at scale.
  • Conduct in-depth LLM-assisted research; gather reliable, up-to-date info.
  • Craft original, high-quality content and hard problems for LLM eval/train.
  • Perform rigorous fact-checking (precision/recall) to prevent misinformation.


Requirements:

  • Education: Master’s with distinction or PhD in Data Science; top-tier institution preferred. Significant domain experience considered.
  • Content development expertise across Data Science.
  • Exceptional writing: clear, concise, engaging; across formats.
  • Strong research & fact-checking; bias mitigation.
  • Originality/creativity; distinct human voice.
  • Detail orientation; precise data presentation; thorough proofreading.
  • Communication: articulate complex info; strong collaboration.
  • Understanding of AI/LLMs, their capabilities/limits.
  • Prompt engineering and familiarity with AI writing tools.
  • Ethical AI awareness and data literacy (collection, cleaning, transformation).
  • Thrives in fast-paced, minimally supervised environments.

Related Jobs

View all jobs

Data Science Consultant - Remote

Data Science Consultant - Remote

Data Scientist

Senior Data Scientist

Data Science & Software Engineer Summer Internship

2026 Degree Apprenticeship Development Programme - Data Science (London)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.