Data Science & Analytic Methodology SME

Remotebridge; United States; Remote; USD 83,000 - 138,000; Part time

Job summary

Remotebridge seeks a Data Science & Analytic Methodology SME for a remote contractor role focusing on advanced analytic pipelines and large language models (LLMs). You will apply domain knowledge to influence how models learn, reason, and perform, without requiring prior AI experience.

Responsibilities include mapping analysis workflows, authoring analytic cases, evaluating responses, flagging problematic refusals, and documenting edge cases with actionable recommendations for continuous

Qualifications

• Experience integrating LLMs into complex data or analytic pipelines.
• Ability to conduct analysis at scale with automation failure modes in mind.
• Track record of teaching, mentoring, or leading in data science.
• Expertise in clear, concise technical documentation.
• Exposure to evaluation frameworks or benchmark systems.
• Familiarity with defense/government analytic domains is valued.
• Ability to operate in distributed international projects with minimal clearance constraints.

Responsibilities

• Map scaled-analysis and pipeline-integration scenarios to an established taxonomy across key evaluation areas.
• Author analytic cases reflecting authentic deployment patterns, including enrichment and analysis-at-scale.
• Evaluate and grade model outputs based on source handling, reasoning, and limits.
• Identify and flag instances of over-refusal affecting analytic workflows.
• Document challenging edge cases and provide actionable improvement recommendations.
• Contribute clear written and verbal feedback to support iterative project outcomes.

Skills

LLM integration

Analysis at scale

Technical leadership

Technical documentation

Evaluation frameworks

Government data domain

Distributed international work

Job description

Role Title: Data Science & Analytic Methodology SME

Role Type: Contractor

Location: Remote

Our team 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.