AI/ML Data Contributor
Required skills
- United States
- follow instructions
- computer skills
- digital tools
- internet connection
- computer
- smartphone
- task-based work
Nice to have
- data annotation
- QA
- AI
- machine learning
- emerging technologies
- device testing
Role summary
We are seeking AI/ML Data Contributors to assist with machine learning model improvement through tasks like data labeling, content evaluation, and user testing. This flexible, task-based role offers remote and in-person opportunities across the United States. Responsibilities include performing AI/ML-related tasks, adhering to project guidelines, and providing feedback. Requirements include being based in the US, strong attention to detail, basic computer skills, and a reliable internet connection. Previous experience in data annotation, QA, or testing, and an interest in AI/ML are considered a plus.
Project OverviewWe are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.
Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.
Responsibilities
- Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
- Participate in remote assignments or attend on-site sessions when required
- Follow project guidelines and ensure high-quality task completion
- Provide feedback and input during testing activities
- Complete tasks within given timelines
Requirements
- Must be based in the United States
- Strong attention to detail and ability to follow instructions
- Basic computer skills and familiarity with digital tools
- Reliable internet connection and access to a computer or smartphone
- Availability to participate in task-based work (schedule may vary)
Nice to Have
- Previous experience in data annotation, QA, or testing
- Interest in AI, machine learning, or emerging technologies
What We Offer
- Paid, flexible task-based work
- Opportunity to work on innovative AI/ML projects
- Exposure to cutting-edge technologies (including device and VR testing)
- Potential for ongoing project participation
Originally posted on Himalayas
