Role: Training Data Annotator (Remote) Location: Remote (Australia, Canada, UK, Ireland, Recent Zealand, United States) Engagement Type: Hourly Contract Applicants must currently reside in Australia, Canada, UK, Ireland, New Zealand or the United States.

Overview We are recruiting contributors to label project data for AI projects. You will use the supplied labeling guidelines to guide your work and record findings about ambiguous examples and inconsistent labels across comparable items for review.

Key Responsibilities - Label project data according to the supplied labeling guidelines.

- Compare similar examples before choosing between close label categories.
- Record labels and any required attributes or boundaries accurately.
- Separate clearly labeled examples from items that need a second review.




- Record findings about ambiguous examples and inconsistent labels across comparable items and flag unresolved questions for review.

Requirements - Professional-level English proficiency, both written and verbal.

- Ability to label project data consistently according to the supplied labeling guidelines.
- Ability to distinguish resolved labels from genuinely ambiguous items.
- Reliable high-speed internet and a suitable home-working setup.
- Previous experience in data annotation, labeling or structured data review is preferred.

Equal Opportunity We welcome applications from qualified individuals of all backgrounds. Applicants are considered based on relevant skills, qualifications and project eligibility requirements, without discrimination on grounds protected by applicable law.

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📌 Training Data Annotator (Remote) (Canada)
🏢 Hired
📍 Canada