- Rémunération
- Non précisé
- Niveau
- Intermédiaire
- Mode
- À distance
- Lieu
- Worldwide
Le poste
Role Title: Data Science & Analytic Methodology SME Role Type: Contract Location: Remote Required Skills:
- LLMs
- Pipeline integration
- Data analytics
- Scaled-analysis judgment
- Data science
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work:
- Map scaled-analysis and pipeline-integration scenarios to an established taxonomy across key evaluation areas.
- Author detailed analytic cases that reflect authentic deployment patterns, including automated triage, enrichment, and analysis-at-scale, as well as representative failure modes in real-world settings.
- Evaluate and grade responses based on criteria such as source handling, reasoning, understanding of limitations, and practical utility.
- Identify and flag instances of model over-refusal that could hinder legitimate analytic workflows or disrupt pipeline continuity.
- Document challenging edge cases, emerging methodology concerns, and provide actionable recommendations for continuous improvement.
- Contribute clear, insightful written and verbal feedback that supports iterative, high-quality project outcomes.
Preferred Qualifications:
- Demonstrated experience integrating LLMs—such as government GPT variants—into complex data or analytic pipelines.
- Proven capability in conducting analysis at scale, with an understanding of automation failure modes and relevant evaluation metrics.
- Track record of teaching, mentoring, or technical leadership in data science or related analytic disciplines.
- Expertise in authoring clear, concise technical documentation and conveying complex concepts through strong written English.
- Exposure to the design of evaluation frameworks or benchmark systems.
- Familiarity with defense, intelligence, or government analytic domains is highly valued.
- Ability to operate effectively in distributed, international project environments with minimal clearance constraints.
Originally posted on Himalayas