Quality Assurance (QA) Reviewer – AI Data Projects

Datalens Africa; United States; A distancia; USD 17.000 - 39.000; A tiempo parcial

Descripción de la vacante

DataLens Africa is seeking a QA Reviewer for AI data projects. Join a team dedicated to accuracy, consistency, and trustworthy datasets powering Africa’s AI initiatives.

This remote, part-time/contract role focuses on reviewing annotated data, ensuring labeling standards, and providing feedback to annotators. Flexible scheduling and compensation per dataset offer an opportunity to contribute to diverse AI workflows.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Analytical skills

Problem-solving

Attention to detail

Communication skills

Herramientas

Annotation tools

AI data workflows

Descripción del empleo

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