Remote Generative AI Labeling Specialist

Welocalize, Inc.

United States

Remote

USD 8,400 - 10,000

Full time

14 days+
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Job summary

Welocalize, Inc. is seeking Generative AI Analysts to support labeling and quality review across multimedia data (video, images, and related metadata). The role suits candidates with several years of annotation and QA experience, strong attention to detail, and the ability to follow structured guidelines at high volume.

This is a remote, full-time position focused on Dogri language tasks. You will annotate, perform self-QA, participate in calibration sessions, document issues clearly, and help

Qualifications

  • 3+ years of experience in multimedia annotation, QA, or related field.
  • Consistency and high accuracy across repetitive, detail-oriented work.
  • Strong written and verbal communication in Dogri to document issues clearly.
  • Comfortable with multimedia content for extended periods.
  • Experience following structured guidelines and meeting productivity/quality targets.

Responsibilities

  • Annotate and review multimedia data accurately using defined labeling rules.
  • Flag ambiguous cases with clear examples for resolution.
  • Perform self-QA on completed work and correct errors before submission.
  • Participate in calibration sessions to align interpretation of guidelines.
  • Track recurring issues and document examples, failure modes, and clarifications.
  • Support quality workflows (sampling, second-pass review, audits).
  • Coordinate with internal stakeholders and external partners to meet throughput and quality targets.

Skills

Multimedia annotation
QA reviews
Attention to detail

Job description

Welocalize, Inc. is seeking Generative AI Analysts to support labeling and quality review across multimedia data (video, images, and related metadata). The role suits candidates with several years of annotation and QA experience, strong attention to detail, and the ability to follow structured guidelines at high volume.

This is a remote, full-time position focused on Dogri language tasks. You will annotate, perform self-QA, participate in calibration sessions, document issues clearly, and help

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