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Data science subject matter expert - ai evaluation (uk-remote)

Dunfermline
Braintrust
Science
Posted: 3h ago
Offer description

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.

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