Role Summary
DataXWorks is hiring a Senior AI Data Annotator / Annotation QA Specialist to support high-quality AI dataset creation and validation workflows.
This role is responsible for reviewing annotation quality, improving labeling consistency, identifying edge cases, and ensuring datasets meet enterprise AI training and evaluation standards.
Key Responsibilities
- Review and validate annotated datasets for quality, consistency, and accuracy.
- Perform QA checks across text, image, document, video, audio, and multimodal datasets.
- Identify annotation errors, guideline gaps, and edge-case inconsistencies.
- Provide feedback to annotators and support quality improvement.
- Help refine annotation guidelines, quality rubrics, and review workflows.
- Track dataset quality metrics such as accuracy, agreement, completeness, and error trends.
- Escalate complex samples to project leads or domain experts when required.
- Support compliance-aware data workflows for sensitive or regulated datasets.
Required Skills & Experience
- 3+ years of experience in data annotation, data labeling, dataset QA, or content quality review.
- Strong understanding of annotation workflows and quality control processes.
- Experience reviewing complex, ambiguous, or domain-specific datasets.
- Ability to identify inconsistency, bias, missing labels, and guideline gaps.
- Good communication and feedback skills.
- Experience in healthcare, retail, BFSI, AI, or compliance-sensitive data is a plus.
Why Join DataXWorks?
You will help build reliable, high-quality datasets used by enterprise AI teams for training, testing, validation, and production deployment.
