Remote Data Science & Analytics Methodology SME (LLMs)

micro1; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

micro1 is seeking a Data Science & Analytic Methodology SME for a remote contracting engagement focused on advanced analytic pipelines and large language models (LLMs). You will contribute expertise to a high-impact project and help shape how models learn, reason, and perform through real-world input.

No prior AI project experience is required beyond strong domain knowledge; you will map, evaluate, and document methodology patterns, while providing clear feedback to guide ongoing improvement and

Qualifications

• Experience integrating LLMs into complex data pipelines.
• Experience with evaluation metrics for AI systems.
• Ability to communicate in clear written English.

Responsibilities

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

Skills

Mentoring

Technical leadership

Written English

Data science

Job description

micro1 is seeking a Data Science & Analytic Methodology SME for a remote contracting engagement focused on advanced analytic pipelines and large language models (LLMs). You will contribute expertise to a high-impact project and help shape how models learn, reason, and perform through real-world input.

No prior AI project experience is required beyond strong domain knowledge; you will map, evaluate, and document methodology patterns, while providing clear feedback to guide ongoing improvement and