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