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
- 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.
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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