AI Data Annotator - Talent Pool

The AI Data Annotator will support the development and improvement of AI and machine learning models through accurate data labeling, classification, and validation. This role ensures that AI systems are trained using high-quality datasets that produce reliable and effective outcomes.

Key Responsibilities

Data Annotation & Labeling

• Create high-quality datasets that support AI model training.
• Label, categorize, and annotate structured and unstructured data.
• Follow annotation guidelines and quality standards.
• Review datasets for accuracy and completeness.
• Maintain consistency across annotation projects.

Data Quality Assurance

• Support the integrity and effectiveness of training data.
• Perform quality checks and validation activities.
• Identify annotation errors and inconsistencies.
• Escalate data quality concerns when necessary.
• Participate in...