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Data Science & Analytic Methodology SME

micro1 · 100% remote · Contract · Posted

Pay
$60–100/hr
Location
Worldwide
Languages
English
Hours
Flexible
Openings
3
Level
Expert

Summary

Apply data science and analytic methodology expertise to train AI systems by mapping scenarios, authoring analytic cases, grading responses, and flagging model over-refusal.

What you'll do

  • Map scaled-analysis and pipeline-integration scenarios to taxonomy
  • Author detailed analytic cases reflecting real deployment patterns
  • Evaluate and grade responses based on source handling, reasoning, and utility
  • Flag instances of model over-refusal that hinder workflows
  • Document edge cases and methodology concerns
  • Provide written and verbal feedback

Requirements

  • Demonstrate experience integrating LLMs into complex data pipelines
  • Prove capability in analysis at scale with automation failure awareness
  • Show track record of teaching, mentoring, or technical leadership
  • Author clear technical documentation
  • Design evaluation frameworks or benchmark systems
  • Familiarity with defense, intelligence, or government domains
  • Operate effectively in distributed international environments

Skills

  • LLMs
  • Pipeline Integration
  • Data Analytics
  • Scaled-Analysis Judgment
  • Data Science

Full description

Role Title: Data Science & Analytic Methodology SME


Role Type: Contractor


Location: Remote


micro1 is engaging Data Science & Analytic Methodology SMEs to contribute expertise to a customer's high-impact project focused on advanced analytic pipelines and large language models (LLMs). 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

  1. Map scaled-analysis and pipeline-integration scenarios to an established taxonomy across key evaluation areas.
  2. 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.
  3. Evaluate and grade responses based on criteria such as source handling, reasoning, understanding of limitations, and practical utility.
  4. Identify and flag instances of model over-refusal that could hinder legitimate analytic workflows or disrupt pipeline continuity.
  5. Document challenging edge cases, emerging methodology concerns, and provide actionable recommendations for continuous improvement.
  6. Contribute clear, insightful written and verbal feedback that supports iterative, high-quality project outcomes.


Preferred Qualifications

  1. Demonstrated experience integrating LLMs—such as government GPT variants—into complex data or analytic pipelines.
  2. Proven capability in conducting analysis at scale, with an understanding of automation failure modes and relevant evaluation metrics.
  3. Track record of teaching, mentoring, or technical leadership in data science or related analytic disciplines.
  4. Expertise in authoring clear, concise technical documentation and conveying complex concepts through strong written English.
  5. Exposure to the design of evaluation frameworks or benchmark systems.
  6. Familiarity with defense, intelligence, or government analytic domains is highly valued.
  7. Ability to operate effectively in distributed, international project environments with minimal clearance constraints.


Learn More About Our Government & Defense Work


At micro1, we work with government and defense experts to evaluate how advanced AI models perform on real-world tasks.

Our MissionReport benchmark assesses AI-generated military and government reports, highlighting the importance of expert judgment, accuracy, and operational understanding.


Learn more: https://www.micro1.ai/benchmark/mission-report

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