Video Data Annotator

$8–10/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Generalist

Review short video and audio clips, apply project guidelines, and assess AI-generated descriptions for accuracy and appropriateness. This remote contractor role also involves moderation decisions, concise written rationales, and consistent handling of confidential project data.

The work

Day to day, you would review short video and audio clips, label their contents, and compare AI-generated descriptions with the source material. You may also assess content against moderation standards, flag uncertain or inappropriate material, and explain inaccuracies or ambiguities in concise written feedback.

What the platform is likely to screen

Expect questions about close visual and audio review, consistent use of detailed guidelines, and judgment when a clip does not fit a rule cleanly. Previous video or audio annotation, content labeling, content moderation, and guideline-based quality assurance are preferred rather than stated as mandatory. A strong command of English is also preferred, particularly for written findings and rationales. No prior AI experience is required.

Working practices

The role requires independent, high-volume work while maintaining annotation consistency and data integrity. You would collaborate remotely with project managers and other specialists when guidelines need clarification, and you must handle project data in accordance with confidentiality and data protection standards.

Logistics

This is a remote contractor role. The listing does not confirm an asynchronous schedule, typical weekly hours, or a minimum time commitment, so candidates should verify those details during onboarding. Pay band: $8–10/hr. This is an observed band, not a guaranteed offer.

What they look for

video annotation
audio annotation
data labeling
content moderation
attention to detail
english communication
written feedback
guideline-based evaluation
independent work
adaptability
process improvement
data confidentiality
remote collaboration

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether you can provide a verifiable example involving multimedia review, defined labels, work volume, and a measurable quality process.
A strong answer: Describe the platform or project context, the media reviewed, the taxonomy or moderation rules used, and how accuracy was checked. If you lack direct annotation experience, use a closely related example that required systematic review of audiovisual material.
Where people lose it: Candidates lose points by describing general content consumption or administrative data entry without explaining what decisions they made about the media.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.