🚀 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.
📌 About DataLens Africa
We 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 Reviewer
Review 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.
🛠 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.
🌟 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.
📍 Details
Location: Remote (Nigeria & Africa)
Employment Type: Part-Time / Contract
Compensation: Competitive per project
Duration: Flexible project-based engagement
👉 Apply now and start earning by shaping the future of AI with DataLens Africa!
Skills Required
- Strong analytical and problem-solving skills
- Prior experience in data annotation or quality assurance
- Excellent attention to detail and communication skills
- Familiarity with annotation tools and basic understanding of AI data workflows
What We Do
DataLens Africa is a human-in-the-loop data infrastructure company that provides high-quality, context-aware datasets for global AI development. They connect AI teams, research institutions, and enterprises with certified African data talent—including annotators and domain experts—to deliver high-precision datasets for text, vision, audio, and video. Their mission is to build Africa's most reliable data ecosystem, ensuring fair representation and accuracy in AI models.
