Quality Assurance (QA) Reviewer – AI Data Projects

Role overview Review annotated datasets to ensure they are accurate, complete, and consistent with project standards. You will work with annotators and project teams to resolve data issues and help maintain dependable inputs for AI systems.

Responsibilities - Inspect annotated data for accuracy, completeness, and overall quality. - Check that labels follow the standards set for each project. - Give annotators clear, constructive feedback to improve their work. - Work with project teammates to identify and resolve inconsistencies.

Requirements - Strong attention to detail and analytical skills. - Ability to communicate review findings clearly. - Basic familiarity with annotation tools and AI data workflows.

Nice to have - Previous experience in data annotation or quality assurance.

Benefits and work setup - Part-time, contract engagement with flexible, project-based scheduling. - Remote work for people in Nigeria and elsewhere in Africa. - Compensation is based on reviewed datasets or projects.