Quality Assurance (QA) Reviewer – AI Data Projects

About the role

Join DataLens Africa as a QA Reviewer for AI Data Projects. You will help ensure the datasets powering Africa's AI revolution are precise, consistent, and trustworthy. You will review and validate annotated data for quality, accuracy, and completeness.

Key responsibilities

• Review and validate annotated data for quality, accuracy, and completeness.
• Ensure all labelling follows project‑specific standards.
• Provide constructive feedback to annotators to enhance quality.
• Collaborate with the project team to identify and fix data inconsistencies.

Required profile

• Strong analytical and problem‑solving skills.
• Prior experience in data annotation or quality assurance is an advantage.
• Excellent attention to detail and communication skills.
• Familiarity with annotation tools and basic understanding of AI data workflows.

Required skills

• Proficiency with annotation tools.
• Basic understanding of AI data workflows.

What we offer

• Help ensure data quality that powers real‑world AI systems.
• Gain exposure to global AI data standards and tools.
• Work remotely with flexible scheduling.
• Competitive compensation per reviewed dataset.