Data Annotation Contributor
HumanSignal
Job Overview
Location
Remote
Employment Type
Contract
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Entry Level (0-2 years)
About the Company
HumanSignal is at the forefront of powering the future of Artificial Intelligence, from foundational model training to real-world agent evaluation. Our platform is dedicated to the creation, curation, and evaluation of high-quality data, ensuring AI systems are grounded in reality.
Our open-source product, Label Studio, has become the industry standard for data labeling and evaluation across various modalities, including text, images, time series, and agent environments. With over 250,000 users and hundreds of millions of labeled samples, it is the most widely adopted solution for AI development teams.
Label Studio Enterprise extends this success by offering essential security, collaboration, and scalability features for mission-critical AI pipelines. We are committed to helping leading AI teams build smarter, more accurate systems, and we are doubling down on our efforts as AI continues to transform the world.
Job Description
Become a vital part of the AI revolution by joining our global contributor network as a Data Annotation Contributor. This is a flexible, remote opportunity to contribute to the development of advanced technologies like artificial intelligence and computer vision.
Your primary role will involve reviewing and refining labeled data to ensure exceptional accuracy and consistency. You'll work on diverse projects, which may include correcting bounding boxes, adjusting segmentation masks, identifying and masking personally identifiable information (PII), and ensuring all annotations strictly adhere to detailed project guidelines and quality standards.
As a member of our community, you will receive notifications for annotation projects that align with your skills and location. You'll have the flexibility to choose which projects to participate in, review project details, and complete tasks that match your availability. Clear instructions, examples, and support will be provided for each initiative.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Review and correct labeled data within images or videos.
- Adjust or refine segmentation or masking areas within images.
- Identify and mask personally identifiable information (PII) when required.
- Ensure annotations follow detailed project guidelines and quality standards.
- Flag unclear or incorrect labels for review.
- Submit completed annotation tasks through designated tools or platforms.
Qualifications
- High level of detail orientation and focus on accuracy.
- Ability to follow structured guidelines and quality standards.
- Capacity to work independently and manage tasks responsibly.
- Strong communication skills for asking questions or seeking clarification.
- Comfortable using online tools for reviewing or editing data.
- Must reside in one of the specified 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.
Benefits & Perks
- Flexible opportunities to participate in data annotation projects.
- Contribute to the development of emerging technologies.
- Access to a growing pipeline of global annotation initiatives.
- Clear instructions and support from experienced project teams.
How to Apply
This job has expired
Join Our Communities
<p>Join our global community of detail-oriented contributors dedicated to enhancing the datasets that power cutting-edge AI and computer vision technologies. In this flexible role, you will meticulously review and refine labeled data, ensuring its accuracy and consistency. Your work directly impacts the development of advanced AI systems, making you an integral part of the future of technology.</p>
Posted Date
March 17, 2026
32 people viewed this job