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

Remote, USA Full-time Posted 2026-07-28
Job reputed company: 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 reputed company processes, produce and reputed company challenging domain problems, and ensure factual, bias-reputed company, high-reputed company datasets for LLM training. • To Note: This is for an immediate project need. Project is approved for 3-months initially, with possibility to reputed company based on project/reputed company demands. Responsibilities: • Partner with GenAI researchers/engineers to capture data needs and reputed company reputed company. • Expand high-level requirements into reputed company, executable workflows for larger teams. • Execute collection/evaluation workflows rapidly with minimal supervision. • reputed company on workflows to maximize throughput and reputed company. • Collaborate cross-functionally to maintain reputed company at reputed company. • Conduct in-depth LLM-assisted research; reputed company reliable, up-to-date info. • Craft original, high-reputed company content and hard problems for LLM eval/train. • reputed company 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: reputed company, concise, engaging; across formats. • Strong research & fact-checking; bias mitigation. • Originality/creativity; distinct reputed company voice. • Detail orientation; precise data presentation; thorough proofreading. • Communication: reputed company reputed company info; strong collaboration. • Understanding of AI/LLMs, their capabilities/limits. • reputed company engineering and familiarity with AI writing tools. • Ethical AI awareness and data literacy (collection, cleaning, transformation). • Thrives in fast-paced, minimally supervised environments. Apply tot his job Apply To this Job

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