AI/ML Data Annotator — Flexible, Paid Projects

Terry Soot Management Group

Fargo (ND)

Híbrido

USD 17.000 - 28.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Paid, flexible task-based work
Exposure to AI/ML projects
Opportunity for ongoing projects

Descripción de la vacante

Lever, Inc. in the United States is seeking AI/ML Data Contributors to support a range of active and upcoming projects. You will perform data labeling, content evaluation, and user testing to help improve models.

Projects offer both remote and on-site participation, with flexible schedules and multiple projects over time. Basic computer skills and reliable internet are essential, and prior data annotation experience is a plus.

Formación

  • Must be based in the United States.
  • Strong attention to detail and ability to follow instructions.
  • Basic computer skills and familiarity with digital tools.
  • Reliable internet connection and access to a computer or smartphone.
  • Availability to participate in task-based work (schedule may vary).

Responsabilidades

  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation.
  • Participate in remote assignments or attend on-site sessions when required.
  • Follow project guidelines and ensure high-quality task completion.
  • Provide feedback and input during testing activities.
  • Complete tasks within given timelines.

Conocimientos

Attention to detail
Follow instructions
Basic computer skills
Reliable internet
Remote work readiness

Descripción del empleo

Lever, Inc. in the United States is seeking AI/ML Data Contributors to support a range of active and upcoming projects. You will perform data labeling, content evaluation, and user testing to help improve models.

Projects offer both remote and on-site participation, with flexible schedules and multiple projects over time. Basic computer skills and reliable internet are essential, and prior data annotation experience is a plus.

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