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1 день назад

Machine Learning Data Labeler (AI)

17$
Формат работы
remote (только USA)
Тип работы
project
Грейд
junior
Английский
c1
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Data Labeler (AI): Evaluating AI model outputs across text, images, video, and documents with an accent on accuracy, consistency, and detailed written reasoning. Focus on identifying errors, applying precise evaluation criteria, and improving the quality of AI systems through structured data labeling.

Location: Remote; must be based in the United States or Canada

Salary: $17/hour (USD)

Company

Workada develops data and feedback that help improve the accuracy, consistency, and usefulness of advanced technology systems.

What you will do

  • Evaluate AI model outputs, including text, images, video, and documents, against detailed criteria.
  • Assess quality and identify errors and inconsistencies.
  • Write clear, precise, and well-reasoned justifications for evaluation decisions.
  • Follow detailed written guidelines independently and contribute to improving AI system performance.

Requirements

  • Must be based in the United States or Canada.
  • Bachelor's degree completed or in progress.
  • Excellent written English with clear, precise, and well-organized writing.
  • Strong attention to detail and sound judgment.
  • At least 1 year of experience evaluating or reviewing work against a standard, such as UI/UX design, graphic design, photography, video production, editorial work, research, QA, or technical writing; equivalent experience is considered.
  • Desktop or laptop running Windows 10 or later, or a recent version of macOS.
  • Stable high-speed internet with at least 25 Mbps download and 5 Mbps upload.
  • Chromebooks, Linux-based systems, and tablets are not supported.

Culture & Benefits

  • Remote contract work with flexible hours.
  • Clear guidelines and training.
  • Performance feedback and opportunities for growth.
  • Mission-driven work focused on accuracy and quality.
  • Strong-performing contributors may progress into roles guiding and supporting others, with compensation reflecting additional responsibility.
  • Equal opportunity environment welcoming applicants from all backgrounds.

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