Data Annotator | Remote - Contract

🏢 Xperteez Technology · all 119 jobs
📍 United States
📅 Posted Oct 29, 2026 · via Himalayas
✅ Verified open — last confirmed 1h ago
🏷 Data Annotator, Data Labeler, AI Trainer, Content Annotator, Freelance Data Annotator, Freelance Data Annotation Specialist +4 more
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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

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Annotate and label audio and video content with precision, following detailed project-specific guidelines.

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Review and validate existing annotations to ensure consistency and quality across datasets.

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Identify, flag, and correct ambiguities or errors in provided data samples.

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Document annotation decisions and maintain clear records for auditability and project transparency.

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Collaborate with project leads and peers via written and verbal channels to resolve queries and align on best practices.

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Meet defined deliverables and deadlines while maintaining high annotation accuracy.

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Provide insights and feedback on annotation processes to contribute to ongoing workflow improvements.

Preferred Qualifications

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Demonstrated expertise in data annotation, particularly with audio and video media.

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Exceptional attention to detail and a strong sense of quality control.

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Proficiency in written and verbal English communication.

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Experience working with diverse data types and adapting to evolving annotation guidelines.

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Strong organizational skills and the ability to document and articulate annotation rationales.

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Familiarity with data labeling tools or platforms is advantageous.

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Experience providing constructive feedback to enhance annotation workflows is a plus.

Originally posted on Himalayas

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