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AI Data Reviewer – Annotation & Quality Assurance | Environment Projects
United States Contract Platform: Mercor
About the Role
We are inviting detail-oriented professionals to join remote AI data annotation and review projects supporting frontier AI research labs. In this role, you will help prepare and validate training data used to develop next-generation AI systems. The work involves reviewing datasets, auditing annotations, and assisting with structured data conversion tasks to ensure accuracy and consistency. This opportunity is ideal for individuals who enjoy working with structured information, following clear guidelines, and contributing to the development of advanced AI technologies.
What You'll Do
- Annotate training data according to defined project guidelines
- Review and audit work produced by other annotators for quality and accuracy
- Perform structured data conversion and formatting tasks for model training pipelines
- Follow evolving instructions and adapt workflows as project requirements change
- Maintain consistency and attention to detail across large volumes of data
- Document issues, edge cases, and improvements to annotation workflows
Requirements
- Strong ability to learn and apply new instructions quickly
- High attention to detail and consistency when reviewing structured data
- Comfort working with data labeling tools and structured data formats
- Strong written communication and ability to follow detailed guidelines
- Ability to work independently in a remote environment
- Interest in contributing to AI development and data-driven workflows
Application Note: By submitting your profile for this partnered position, our team can quickly review your background and reach out to present you with this specific opportunity or match you with similar AI Training projects.