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Visual Data Annotation Specialist - AI Trainer

Role overview

Summary

This role focuses on creating and verifying visual data for AI training at Mercor. You will capture images and develop prompts to enhance AI model accuracy, working independently and flexibly to meet project requirements.

Qualifications

  • A sharp eye for detail and patience for accurate counting.
  • A phone or camera and access to busy real-world scenes.
  • Clear, precise writing skills for prompt creation.
  • Comfort with repetitive checking and acting on feedback.
  • Willingness to flag unclear guidelines.

Responsibilities

  • Capture original, unedited photos of real-world scenes with many countable objects.
  • Write 3–5 reasoning-based counting prompts per image to challenge AI models.
  • Outline each counted object in an annotation tool for accuracy verification.
  • Aim for image and prompt sets where the model gets the count wrong.

Key facts

Hard skills

Other skills

  • Detail Oriented
  • Writing
  • Problem Solving

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Generalist
Type: Contract
Compensation: $20–$80 per task
Location: Remote

Role Responsibilities

  • Capture original, unedited photos of real-world scenes with many countable objects.
  • Write 3–5 reasoning-based counting prompts per image to challenge AI models.
  • Ensure each prompt has one correct answer agreed upon by 9 out of 10 people.
  • Outline each counted object in an annotation tool for accuracy verification.
  • Aim for image and prompt sets where the model gets the count wrong.
  • Work with flexible hours and independently to complete tasks.

Qualifications

Must-Have

  • A sharp eye for detail and patience for accurate counting.
  • A phone or camera and access to busy real-world scenes.
  • Clear, precise writing skills for prompt creation.
  • Comfort with repetitive checking and acting on feedback.
  • Willingness to flag unclear guidelines.

Application Process (Takes 20–30 mins to complete)

  • Upload resume and confirm your work location.
  • Complete the short assessment attached to this listing.
  • Profile and assessment results reviewed for fit.
  • If selected, read project guidelines, watch onboarding call, pass onboarding quiz, and submit one qualifying task.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



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