Video Data Annotator for AI Training
$40 - $80 per hourSaidGig
Role Overview
Apply your domain expertise to label and annotate short video clips that help train next-generation AI systems. In this contractor role you will identify and categorize recurring events, record precise timestamps, and write clear descriptions that directly shape model learning. No prior AI experience is required, your subject matter knowledge is the priority. Work is remote as part of micro1''s global expert network.
Key Responsibilities- Review short video clips and identify recurring events according to provided guidelines.
- Categorize each event and annotate with precise timestamps for every occurrence.
- Write clear, concise, and consistent English-language descriptions for annotated events.
- Follow annotation protocols rigorously to maintain consistency and data integrity.
- Ensure high labeling accuracy through close attention to detail and analytical review.
- Collaborate with project leads and fellow contributors to resolve questions and incorporate feedback.
- Submit deliverables regularly, aligned with project milestones and expectations.
- Required skills include video annotation, attention to detail, data labeling accuracy, English-language proficiency, analytical thinking, ability to follow guidelines, and a collaborative mindset.
- No prior AI experience required, domain knowledge and subject matter expertise are valued.
- Preferred experience with video annotation or similar data labeling activities.
- Experience participating in AI training or data-centric projects is advantageous.
- Ability to work independently, adapt to evolving annotation criteria, and collaborate effectively in distributed teams.
- Role type: Contractor.
- Location: Remote.
- Work is project-driven, with contributors expected to submit regular deliverables consistent with project milestones.
Pay range: $40 to $80 per hour.
About micro1micro1 is an AI data lab that transforms expert knowledge into high-quality training data and evaluations. Experts contribute across domains such as finance, healthcare, STEM engineering, and more, enabling improvements in how AI systems learn and perform.
How to ApplyIf you are interested, follow the application instructions on this posting to express interest and begin the submission process.
Vacancy posted 18 days ago
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