Fully RemoteData & AIWorldwide
Salary
Not listed
Posted
3h ago
Source
himalayas
Data Annotation ExpertAI Language Data Annotation SpecialistAI Data AnnotatorAI Data AnnotationData Annotator
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.
Before you apply
- Confirm data stack maturity (warehouse, transformation, BI tooling)
- Ask whether the role is analyst-leaning or ML/eng-leaning
- Check data quality ownership — who owns the source-of-truth?
Interested in this role?
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