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Data Annotator

RemoteJobsOne


Job Location:

Los Angeles, CA - USA

Hourly Salary: $ 6 - 8
Posted: 24 September 2026 (22 hours ago)
Application Deadline: 22 December 2026
Vacancies: 1 Vacancy

Job Summary

IMPORTANT: after you apply please check your email. We send you a link to complete your application it is not considered until that last step is done. If you do not see it check your spam folder.

This is a fully remote position open to candidates based in United States.

Pay: $6$8/hr

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 this role youll 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.

Scope of Work

  1. Annotate and label audio and video content with precision following detailed project-specific guidelines.
  2. Review and validate existing annotations to ensure consistency and quality across datasets.
  3. Identify flag and correct ambiguities or errors in provided data samples.
  4. Document annotation decisions and maintain clear records for auditability and project transparency.
  5. Collaborate with project leads and peers via written and verbal channels to resolve queries and align on best practices.
  6. Meet defined deliverables and deadlines while maintaining high annotation accuracy.
  7. Provide insights and feedback on annotation processes to contribute to ongoing workflow improvements.

Preferred Qualifications

  1. Demonstrated expertise in data annotation particularly with audio and video media.
  2. Exceptional attention to detail and a strong sense of quality control.
  3. Proficiency in written and verbal English communication.
  4. Experience working with diverse data types and adapting to evolving annotation guidelines.
  5. Strong organizational skills and the ability to document and articulate annotation rationales.
  6. Familiarity with data labeling tools or platforms is advantageous.
  7. Experience providing constructive feedback to enhance annotation workflows is a plus.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.