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Retail Specialist

$60–$80/h

United States

Catalogue update: this role is no longer listed in the current Mercor catalogue. Browse current AI Training opportunities.

About the role

Bring senior Retail expertise to an AI lab project that tests whether model answers reflect real business judgment. The role combines specialist task design with systematic review of AI reasoning.

Skills and focus areas

Written Feedback · Retail Operations · Compliance · Origin · Written Communication · Retail

What you will do

  • Create demanding scenarios and defensible model answers from your professional field.
  • Score generated responses and document where the reasoning or conclusions fail.
  • Improve the assessment framework and coordinate judgments with other specialists.

Experience and requirements

  • At least eight years of relevant professional practice, with clear progression into more senior responsibilities.
  • Previous hands-on experience assessing AI or language-model outputs is compulsory.
  • Strong written explanations, problem-solving and collaboration skills.

Working arrangements

  • W-2 employment is through Cincinnatus LLC for placement with an AI laboratory.
  • The listing calls for weekday availability of at least 35 hours per week.

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →