Quality Assurance; QA) Reviewer – AI Data Projects
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IT/Tech
Data Annotation/ AI Labeling, Data Scientist, Data Analyst -
Quality Assurance - QA/QC
Data Annotation/ AI Labeling, Data Analyst
Job Description & How to Apply Below
Join Data Lens Africa as a QA Reviewer for AI Data Projects!
Are you passionate about accuracy and data quality? Help ensure the datasets powering Africa’s AI revolution are precise, consistent, and trustworthy.
About Data Lens AfricaWe are a leading provider of AI-ready data across Africa, enabling organizations to build smarter, more ethical AI systems. We rely on a skilled QA team to verify, review, and validate large-scale annotated datasets for various AI applications.
Your Role as a QA ReviewerReview and validate annotated data for quality, accuracy, and completeness.
Ensure that all labeling follows project-specific standards.
Provide constructive feedback to annotators to enhance quality.
Collaborate with the project team to identify and fix data inconsistencies.
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.
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.
Location:
Remote (Nigeria & Africa)
Employment Type:
Part-Time / Contract
Compensation:
Competitive per project
Duration:
Flexible project-based engagement
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