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Data Annotator

RemoteJobsOne


Job Location:

London - UK

Hourly Salary: $ 6 - 10
Posted: 24 September 2026 (10 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 Kingdom.

Pay: $6$10/hr

Role Title: Data Annotator

Role Type: Contractor

Location: Remote

We are engaging Data Annotators to contribute expertise to a client-driven project focused on high-quality 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.

Scope of Work

  1. Precisely annotate video and audio samples according to detailed project guidelines and protocols.
  2. Review validate and enhance existing annotations to maximize data accuracy and consistency.
  3. Identify flag and document edge cases and ambiguous data points for further clarification.
  4. Collaborate with project coordinators to clarify annotation criteria and resolve uncertainties.
  5. Maintain meticulous records of completed annotations and submit deliverables within established milestones.
  6. Provide feedback on annotation tools and workflow for continuous process improvement.
  7. Ensure all annotated data meets quality assurance standards and project requirements.

Preferred Qualifications

  1. Demonstrated experience in data annotation especially with video and audio content.
  2. Exceptional attention to detail and a methodical approach to complex data tasks.
  3. Proficiency in both written and verbal English communication.
  4. Ability to interpret and execute highly specific annotation instructions.
  5. Experience working independently on remote projects with minimal supervision.
  6. Strong analytical skills with the ability to make objective decisions about nuanced data.
  7. Familiarity with data labeling platforms or annotation tools (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.