Video and Audio Data Annotator

You will review short video and audio clips and label them using project guidelines. You will also check whether AI-generated descriptions accurately and appropriately match the multimedia content.

The work requires careful visual and audio judgment, clear written reasoning, and consistent quality across many submissions. You will handle project data confidentially and follow data protection standards.

• Annotate short video and audio clips according to detailed guidelines.
• Assess AI-generated descriptions for accuracy, appropriateness, and alignment with the underlying content.
• Identify uncertain or inappropriate material and explain your decisions clearly.
• Write concise feedback about inaccuracies, ambiguities, and content-quality concerns.
• Maintain consistent annotations and data integrity across high volumes of submissions.
• Work independently, clarify guidelines remotely, and share practical process improvements.

This is a remote, part-time contract role for people who can review multimedia carefully and communicate their findings in written English. Prior AI experience is not required.

• Pay: $8 to $10 per hour.
• Work type: Remote contract work with part-time status.
• Language: Strong written English and clear written communication.
• Location: Open to candidates in Argentina, Bangladesh, Bahrain, Brazil, Chile, Colombia, Algeria, Egypt, Spain, Ghana, Greece, Indonesia, India, Italy, Jordan, Kenya, Kyrgyzstan, Kuwait, and Kazakhstan.
• Location: Also open to candidates in Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Saudi Arabia, Thailand, Tunisia, Taiwan, Uzbekistan, Vietnam, and South Africa.
• Requirements: Strong visual and audio attention, careful judgment, consistency with guidelines, and the ability to adapt to changing instructions.
• Requirements: Ethical handling of sensitive information and confidential project data.

Experience with video or audio annotation, content labeling, digital content moderation, guideline-based evaluation, or quality assurance is helpful. Experience improving annotation processes or sharing best practices with remote collaborators is also relevant.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training work is the human side of building artificial intelligence: people prepare, review, and evaluate examples that help AI systems learn. Careful reviewers are important because consistent labels and clear feedback help improve how these systems understand and respond to content.