Назад
5 дней назад

Data Annotation Specialist (AI)

30CAD
Формат работы
remote (только Canada)
Тип работы
parttime
Грейд
junior
Английский
c1
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Annotation Specialist (AI): Evaluating, stress-testing, and improving Large Language Models through structured feedback and data labeling with an accent on analytical judgment and quality assurance. Focus on identifying model failure modes, creating high-quality training datasets, and maintaining consistency across complex multimodal tasks.

Location: Must be based in Canada

Salary: CAD $30/hour

Company

A leading security-first enterprise AI company building cutting-edge foundation models and end-to-end products to solve real-world business problems.

What you will do

  • Evaluate and rank model outputs based on accuracy, helpfulness, and safety.
  • Stress-test models to surface failure modes and unsafe behaviors.
  • Author high-quality prompts and responses to build training datasets.
  • Design and apply grading rubrics to ensure consistent annotation quality.
  • Annotate and rectify inaccuracies across text, image, and structured data formats.
  • Communicate performance trends and quality issues to cross-functional teams.

Requirements

  • Must be based in Canada
  • 1+ years of experience in AI data annotation, LLM evaluation, or related analytical roles.
  • Strong command of written English with the ability to provide clear justifications for evaluations.
  • Comfort working with structured data formats including JSON, CSV, Markdown, XML, and YAML.
  • Ability to commit to 16 hours per week.
  • Must provide own laptop (BYOD).

Culture & Benefits

  • Opportunity to contribute to frontier AI technology development.
  • Flexible, remote-first work environment.
  • Exposure to experimental and evolving AI task types.
  • Collaborative work within a global, asynchronous team.

Hiring process

  • Resume and writing sample review.
  • Virtual annotation test covering language-based tasks.
  • Video screen with the Operations Team.

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