Data Quality Analyst Job at Mercor, New York, NY

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  • Mercor
  • New York, NY

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 DAngelo Larry Summers and Jack Dorsey .

Position: Image QA Expert

Type: Contract

Compensation: $50$60/hour

Location: Remote

Role Responsibilities

  • Review and validate image datasets sourced from external vendors against defined quality standards and QA rubrics .
  • Identify inconsistencies labeling errors and systematic quality failures. Provide structured written feedback.
  • Contribute to the development of instruction specs and golden sample datasets as internal quality benchmarks.
  • Collaborate with Researchers and Ops teams to scope data projects define quality criteria and support evaluation efforts.
  • Work independently and manage time effectively to meet deadlines while ensuring high-quality image data.

Qualifications

Must-Have

  • Strong attention to detail and ability to apply evaluation rubrics consistently and objectively.
  • Excellent written communication skills; able to document findings clearly and provide actionable feedback.
  • 2 years of experience in QA editing reviewing auditing or annotation work (any domain).
  • Basic ability to work independently and manage ones time.
  • Verbal and written communication skills problem-solving skills and interpersonal skills.

Preferred

  • Past experience in AI training model evaluation or data annotation.

Application Process (Takes 2030 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information please check:
  • For any help or support reach out to:

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

Job Tags

Full time, Contract work, Summer work

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