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Open nowPosted 14 hours ago

🌎Data Science & Analytic Methodology SME, Remote- Contract

xperteez231 open roles

Where
International
Work mode
Remote
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Your applicationOpen now🌎Data Science & Analytic Methodology SME, Remote- Contractxperteez · International

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11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 14 hours ago

The posting

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.
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