Video Annotation Reviewer
Claru • Remote
Education
Not stated
Type
Hourly
Pay Rate
$35–$55/hr
Listed
13d ago
About this role
From the Claru listing
You'll audit video annotation work submitted by other labelers — verifying that temporal labels, content tags, and moderation flags have been applied correctly and consistently. A typical task gives you a short video clip alongside the annotation a labeler submitted, and your job is to confirm accuracy, correct errors, and escalate edge cases that fall outside the label taxonomy. You're the last human checkpoint before this data goes into a training pipeline, so precision matters more than speed.
The annotation types you'll review include action recognition labels (start/end timestamps for specific activities), content moderation flags (violence, adult content, misinformation indicators), and English-language transcription segments matched to audio. You'll work through a structured interface that shows the original clip, the submitted labels, and fields for your verdict and notes. Disagreements with the original labeler require a written rationale. You are not re-labeling from scratch — you're auditing existing work, which means you need to be both accurate and consistent with the project's labeling guidelines.
You need at least 2 years of video annotation or content moderation experience, with strong English comprehension for transcript-verification tasks. Familiarity with timestamp-based annotation tools (e.g., CVAT, Label Studio, or proprietary tooling) is expected. Moderation experience with platforms that handle sensitive content is a plus, as some batches include flagged material requiring careful classification.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Why this role
Being remote means this Video Annotation Reviewer position pays $35–$55/hr regardless of your zip code, opening up Generalist work that used to require living in one of a handful of cities.
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Common questions
What makes this one of Claru's higher-paying roles?
Claru bands its desk-based work by how much judgement a task needs. This listing sits in the top band at $35-$55/hr, alongside its RLHF evaluation, medical and 3D vision annotation and red-teaming roles, all of which expect graduate-level or professional depth in the subject and the ability to justify a score in writing. Its entry-tier text labeling sits at $20-$35/hr for comparison.
Is Claru desk work a steady queue or does it arrive in batches?
Batches. Claru describes this work as asynchronous with no scheduled hours and no meetings: you claim a batch, complete it and submit. There is no guarantee a new batch is waiting when you finish one, so treat it as recurring project income rather than a fixed weekly wage.
Does Claru publish the rate before I apply?
Yes. Every listing on claru.ai/jobs shows its hourly band on the card and again on the role page, so you can compare a $20-$35/hr labeling role against a $55-$100/hr evaluation role without creating an account first.
How does Claru measure quality on this kind of work?
Through agreement scoring and review. Its evaluation roles set a target for how closely your scores track other annotators, and disagreements with reviewers are resolved in an async comment thread you are expected to answer within a day. Consistently strong scores are what unlock the senior and lead tracks Claru mentions in its listings.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
Do task-based AI training roles require an interview?
Most skip a live interview entirely and gate access through an automated assessment or qualification task instead. Where we've confirmed the specific requirement for this listing, it's called out above in What We Know About This Role.
What does Generalist work look like for a Video Annotation Reviewer?
Tasks here are scoped to Generalist, not generic labeling. As a Video Annotation Reviewer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Generalist) rather than following a one-size-fits-all rubric. If you don't have hands-on Generalist background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Data Annotation, English, and Entry Level are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $35–$55/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Claru's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who is behind Claru?
Claru is the contributor-facing brand of Reka AI, which collects human data for frontier AI labs across text, vision, video and robotics. Its board splits into regional video capture work and desk-based annotation and evaluation, and the apply link on this page is an affiliate link that does not change your pay or what you are offered.