Remote contractor opportunity for experienced PR and communications professionals to evaluate AI-generated communications content, improve messaging quality, and contribute expert stakeholder communication guidance to advanced AI systems.
AI Trainer – Freelance Data Annotator
Job description
About the Role
Toloka is recruiting Freelance AI Trainers (Data Annotators) across Asia-Pacific to support AI training projects involving text, image, and video data.
This is a remote, project-based opportunity where you’ll evaluate and label data to improve AI system performance.
Responsibilities
- Review and analyze data (text, images, videos)
- Label and categorize content based on structured guidelines
- Evaluate and compare AI-generated responses
- Identify and flag:
- Incorrect or misleading information
- Sensitive or inappropriate content
- Ambiguous or unclear outputs
- Maintain consistency and accuracy across tasks
Important Note
- Work is project-based (not guaranteed steady work)
- Tasks depend on project availability
- Contributors may be assigned to multiple projects based on performance
Requirements
- Bachelor’s degree in any discipline
- Minimum 1 year of professional experience
- Advanced English proficiency (C1 or higher)
- Strong:
- Logical reasoning
- Fact-checking ability
- Attention to detail
- Ability to follow complex guidelines accurately
- Good written communication skills
- Interest in AI and emerging technologies
Compensation
- Up to $18/hour equivalent
- Rates vary depending on:
- Task complexity
- Project type
- Output quality
Role Details
- Remote (APAC-based candidates only)
- Flexible, part-time schedule
- Work availability depends on active projects
Why Join Toloka
- Flexible remote work
- Higher earning potential compared to similar entry-level AI roles
- Gain hands-on experience in AI training and evaluation
- Build skills in annotation, QA, and AI workflows
- Contribute to globally used AI systems
About Toloka
Toloka is a global platform that connects contributors with AI training tasks such as data annotation, evaluation, and content moderation. It enables individuals worldwide to help build and improve advanced AI systems.
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