Data Annotator | Remote - Contract
Xperteez Technology · Remote – worldwide
- Salary
- Not stated
- Posted
- 2d ago
- Source
- Himalayas
Job description
Role Title: Data Annotator
Role Type: Contractor
Location: Remote
We are engaging Data Annotators to contribute expertise on a dynamic customer project focused on high-impact data 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. This opportunity centers on detailed annotation of audio and video samples, requiring careful attention to detail and proficiency in English.
Required Skills
• Data Annotation
• Attention to detail
Scope of Work
• Annotate and label audio and video content with precision, following detailed project-specific guidelines.
• Review and validate existing annotations to ensure consistency and quality across datasets.
• Identify, flag, and correct ambiguities or errors in provided data samples.
• Document annotation decisions and maintain clear records for auditability and project transparency.
• Collaborate with project leads and peers via written and verbal channels to resolve queries and align on best practices.
• Meet defined deliverables and deadlines while maintaining high annotation accuracy.
• Provide insights and feedback on annotation processes to contribute to ongoing workflow improvements.
Preferred Qualifications
• Demonstrated expertise in data annotation, particularly with audio and video media.
• Exceptional attention to detail and a strong sense of quality control.
• Proficiency in written and verbal English communication.
• Experience working with diverse data types and adapting to evolving annotation guidelines.
• Strong organizational skills and the ability to document and articulate annotation rationales.
• Familiarity with data labeling tools or platforms is advantageous.
• Experience providing constructive feedback to enhance annotation workflows is a plus.
Originally posted on Himalayas
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