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Data Annotation Job information

What is the difference between Data Annotation Job vs Data Labeling Specialist?

AspectData Annotation JobData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with experience in labeling tools
Work EnvironmentRemote or on-site, tech companies, AI/ML projectsSimilar environments, often in AI/ML data teams
Industry UsageUsed across AI, machine learning, autonomous vehiclesPrimarily in AI/ML data preparation
Search & Comparison IntentCommonly compared for entry-level data workOften searched as a related role in data preparation

Data Annotation Jobs and Data Labeling Specialists are closely related roles in AI and machine learning industries. Both involve preparing data for model training, often using similar tools and environments. The main difference lies in terminology and specific job descriptions, but they generally require comparable skills and are used interchangeably in many companies. Understanding these similarities helps job seekers identify suitable opportunities in data preparation fields.

Infographic showing various Data Annotation Job job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 41% Part Time, and 56% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

Data Annotation Specialist - AI Lab

Mercor

New York, NY • Remote

$50/hr

Full-time

Posted 10 days ago

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: $50/hour
Location: Remote

Role Responsibilities

  • Review, evaluate, and annotate AI outputs with extreme attention to detail.
  • Follow complex guidelines precisely and apply them consistently across tasks.
  • Identify subtle errors, edge cases, and quality issues others might miss.
  • Provide clear, structured feedback to improve downstream AI training quality.
  • Maintain high accuracy across repetitive, high-volume workflows.
  • Flag unclear instructions or ambiguous cases proactively.

Qualifications

Must-Have

  • Exceptionally detail-oriented and quality-obsessed mindset.
  • Prior experience as a CB / reviewer / rater in human data or AI training pipelines.
  • Proven ability to follow nuanced instructions without deviation.
  • Strong written communication and reasoning skills.
  • High reliability, consistency, and comfort with repetitive precision work.
  • Ability to work independently and maintain focus over long task batches.

Preferred

  • Experience with large-scale AI data annotation or evaluation programs.
  • Background in QA, operations, trust & safety, or structured review work.
  • Familiarity with multi-step rubric-based evaluations.
  • Comfort giving calibrated feedback aligned with strict quality bars.

Compensation & Legal

  • Hourly contractor
  • Paid weekly via Stripe Connect

Application Process (Takes 20–30 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: https://talent.docs.mercor.com/welcome/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.