Data Operations
Quality Assurance (QA) Reviewer โ AI Data Projects
About the role
๐ Join DataLens 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.
๐ About DataLens Africa
We are a leading provider of AI-ready data across Africa, enabling organisations 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.
๐ฏ Your Role as a QA Reviewer
Review and validate annotated data for quality, accuracy, and completeness
Ensure that 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
๐ What We're Looking For
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
๐ Why Join Us?
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
๐ Details
Location: Remote (Nigeria & Africa)
Employment Type: Part-Time / Contract
Compensation: Competitive per project
Duration: Flexible project-based engagement
๐ Apply now and start earning by shaping the future of AI with DataLens Africa!
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Do you have prior experience in data annotation or QA? Please describe briefly.
How many hours per week are you available? *
Annotation or QA tools you have used (if any)
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This is an excerpt. See the full role and apply on app.datalens.africa.
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