Data Annotation Contributor

HumanSignal is building a global contributor community to support the annotation, review, and refinement of datasets used in artificial intelligence and computer vision systems.

As a Data Annotation Contributor, you will help improve the accuracy and consistency of labeled image and video datasets used for training and evaluating advanced AI technologies.

This is a flexible contractor-based opportunity where contributors can participate in projects that match their skills, interests, and availability.

About HumanSignal

HumanSignal develops infrastructure and tools for:

• AI data labeling
• AI evaluation
• Human feedback systems
• Machine learning workflows

Its open-source platform, Label Studio, is widely used by AI teams for:

• Image annotation
• Video labeling
• Text evaluation
• Multi-modal AI datasets
• Agent evaluation systems

across large-scale AI pipelines.

Role Overview

Contributors review and refine annotations inside image and video datasets according to project guidelines and quality standards.

Projects may involve:

• Bounding box review
• Segmentation refinement
• Masking sensitive information
• Quality validation
• Annotation correction

Training materials and project guidance may be provided depending on assignment requirements.

Responsibilities

Depending on the project, contributors may:

• Review and correct:

  • Bounding boxes
  • Object annotations
  • Human annotations
  • Segmentation masks

• Refine image or video labeling quality

• Identify and mask:

  • Personally identifiable information (PII)
  • Sensitive visual content

• Ensure annotations follow:

  • Project guidelines
  • Quality standards
  • Consistency requirements

• Flag incorrect or unclear labels for further review

• Submit completed tasks through annotation platforms and project tools

How the Contributor Community Works

After joining the contributor network, participants may:

• Receive notifications about new annotation projects

• Review project requirements and participation options

• Choose assignments based on:

  • Skills
  • Availability
  • Interest

• Gain access to additional future opportunities as new projects launch

Participation is fully flexible and project-based.

Required Qualifications

• Strong attention to detail

• Ability to follow structured guidelines consistently

• Comfortable working independently

• Good communication skills for:

  • Clarifications
  • Feedback
  • Issue reporting

• Comfortable using:

  • Online annotation tools
  • Web-based review systems
  • Data labeling platforms

Previous experience with:

• Data annotation
• Image labeling
• QA review

is helpful but not required.

Compensation

Compensation varies depending on:

• Project scope
• Geographic region
• Assignment type

Pay rates are communicated before each project begins and are aligned with local market rates for similar work.

Why Join

• Flexible project participation
• Access to ongoing global annotation projects
• Opportunity to contribute to AI and computer vision systems
• Training and support from experienced project teams
• Ability to build experience in AI data operations and annotation workflows

Eligibility

Applicants must reside in one of the following countries:

• India
• Pakistan
• Bangladesh
• Sri Lanka
• Nepal
• Philippines
• Vietnam
• Indonesia
• Thailand
• Malaysia
• Kenya
• Nigeria
• Ghana
• Uganda
• Tanzania
• Rwanda
• Egypt
• Mexico
• Colombia
• Peru
• Argentina
• Brazil
• Bolivia
• Guatemala

This is an independent contractor opportunity and does not constitute employment with HumanSignal.