AI training contract
Data Science & Analytic Methodology SME
Data & Analytics · USD 60-100 an hour. · 3 openings
Data Science & Analytic Methodology SME is contract work for micro1, reviewing and correcting what AI models produce in data & analytics. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 60 to USD 100 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 3 openings on this role.
Skills named: LLMs, Pipeline integration, Data analytics, Scaled-analysis judgment, Data science.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
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.
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Rate, openings and requirements checked 2026-10-23 against micro1's own public postings.