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Data Science & Analytic Methodology SME

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on micro1 when you’re readyApply on micro1 →

You apply directly on micro1's site. Applying is free. Posted Oct 22, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

micro1 screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Scientist. It covers:

Statistical analysisMachine learningData visualization

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Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

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The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our free micro1 interview guide.

STEP 2 · APPLY

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You apply on micro1's own site. It’s free, and you can apply even if you skip the practice.

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Who this role suits

Analysts and data scientists who want flexible remote work in statistics, modelling and evaluation.

LLMsPipeline integrationData analyticsScaled-analysis judgmentData science

Full 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.

Last checked open on Oct 28, 2026. Job description provided by micro1.

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