Data Science & Analytic Methodology SME

Micro1; India; Remote; INR 2,066,000 - 4,822,000; Full time

Job summary

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.

Qualifications

• Domain knowledge in data science or analytics required.

Responsibilities

• Map scaled-analysis and pipeline-integration scenarios to a taxonomy across key evaluation areas.
• Author analytic cases reflecting authentic deployment patterns including triage, enrichment, and scale analysis with representative failure modes.
• Evaluate and grade responses based on source handling, reasoning, understanding of limitations, and practical utility.
• Identify and flag instances of model over-refusal that could hinder analytic workflows or disrupt pipeline continuity.
• Document challenging edge cases, emerging methodology concerns, and provide actionable recommendations for continuous improvement.
• Provide clear, insightful written and verbal feedback to support iterative project outcomes.

Skills

LLM integration

Analysis at scale

Technical leadership

Documentation

Job 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 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