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Contract Ai Data Annotation Jobs (NOW HIRING)

Abaka AI

Quality Project Associate

Mountain View, CA · On-site

Responsibilities : • Build and improve quality assurance and compliance systems across AI data annotation projects • Design quality standards, review processes, escalation workflows, and ...

Gehc

Data Manager - AI Development

Waukesha, WI

Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones. 4. Data Governance & Compliance Support

Abaka AI

Quality Project Associate

Responsibilities : • Build and improve quality assurance and compliance systems across AI data annotation projects • Design quality standards, review processes, escalation workflows, and ...

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Contract Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a Contract AI Data Annotation Specialist, and why are they important?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is a Contract AI Data Annotation job?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

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Contract Ai Data Annotation jobs near you
Infographic showing various Contract Ai Data Annotation job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.

Data Annotation Specialist - AI Lab

Mercor

New York, NY • Remote

$50/hr

Full-time

Posted 15 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.