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Why this grade This listing scored 43/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Role Title: AI Data Annotation Expert
Role Type: Contractor
Location: Remote
micro1 is selecting AI Data Annotation Experts to contribute to a client-driven project focused on improving AI systems through meticulous video data labeling and annotation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Review short video clips to identify and categorize recurring events according to provided guidelines.
- Precisely annotate each recognized event, capturing accurate timestamps for every occurrence.
- Craft clear, concise, and consistent written descriptions for all annotated events.
- Utilize attention to detail and data labeling accuracy to ensure high-quality, reliable annotations.
- Apply annotation protocols rigorously to maintain consistency and integrity of the labeled data.
- Engage collaboratively with project leads and fellow contributors to address questions and feedback.
- Submit regular deliverables aligned with project milestones and expectations.
Preferred Qualifications
- Proven experience with video annotation or similar data labeling activities.
- Exceptional attention to detail and a commitment to maintaining data quality.
- Strong analytical skills, with the ability to interpret guidelines and apply them thoroughly.
- Excellent written and verbal English proficiency for clear annotation descriptions and communication.
- Experience participating in AI training or data-centric projects is advantageous.
- Demonstrated ability to collaborate effectively within distributed teams or remote projects.
- Comfort working independently and adapting to evolving annotation criteria or feedback.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 28 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.