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micro1 · Remote job

Domain Contributor - Evaluation Specialist

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 21, 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 Annotator. It covers:

Instruction FollowingAttention to DetailLogical Reasoning

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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

Researchers and PhD holders who want to use their subject expertise on remote, flexible projects.

Domain depthSource verificationReasoning clarityEvaluation expertise

Full job description

Role Title: Domain Contributor - Evaluation Specialist

Role Type: Contractor (~15 hrs/week)

Location: Remote

micro1 is engaging Domain Contributor - Evaluation Specialists to support an internal project evaluating and improving advanced AI models. 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. Flexible, pay-per-task work across history, law, finance, journalism, and tech, for experts with prior AI training experience.

Scope of Work

  • Design nuanced, domain-specific tasks that probe AI model limits and surface reasoning flaws.
  • Author questions and scenarios demanding deep subject knowledge, beyond general understanding.
  • Assess AI-generated outputs, validating accuracy against authoritative, primary sources in your area of expertise.
  • Document clear rationales for model shortcomings, specifying missed reasoning, source errors, or nuances.
  • Apply detailed task guidelines and evaluation rubrics consistently to each submission.
  • Submit completed deliverables independently on a rolling basis, meeting project requirements for written and verbal clarity.

Preferred Qualifications

  • Proven hands-on experience with AI model training, annotation, RLHF, or evaluation.
  • Deep expertise in a core domain: history, archival or library science, law (paralegal, legal academic, compliance), finance (equity research, PE/VC, forensic accounting), journalism, or technology/industry history.
  • Advanced research skills with a track record of verifying complex claims against authoritative sources.
  • Exceptional written and verbal communication skills to articulate findings and feedback.
  • Demonstrated ability to precisely follow detailed instructions and evaluation frameworks.
  • Background in adversarial or “stomp the model” task design is advantageous.
  • Graduate-level research, experience at a Fortune 100 company, or professional fluency in a non-English language a plus.

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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

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