Data Annotation Quality Control Analyst - Enabled Intelligence

Key Responsibilities

• Review and validate annotated datasets for accuracy, consistency, and adherence to project specifications.
• Identify and resolve annotation errors, providing feedback to annotators to improve performance.
• Develop and maintain quality metrics, guidelines, and documentation for data labeling workflows.
• Collaborate with subject‑matter experts and project managers to clarify labeling requirements and resolve ambiguities.
• Utilize annotation platforms and QA tools to track progress, generate reports, and ensure timely delivery.

Requirements

• Experience with data annotation and quality assurance processes in AI/ML projects.
• Proficiency in using annotation tools (e.g., Scale AI, Labelbox, Prodigy) and QA software.
• Strong attention to detail and ability to spot inconsistencies in large datasets.
• Excellent written communication skills for documenting guidelines and providing feedback.
• Domain knowledge or ability to quickly learn subject‑matter specifics relevant to the data being labeled.