
AI Data Quality Specialist
6 days ago
We are seeking a detail-focused professional to maintain annotation standards and drive continuous improvements in AI data accuracy, efficiency, and scalability.
Key Responsibilities:- Perform quality audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.
- Leverage metrics such as F1 score and inter-annotator agreement to evaluate data quality.
- Analyze annotation errors, trends, and project documentation to identify root causes and propose remediation strategies.
- Resolve and analyze edge-case annotations to ensure quality and identify improvement areas.
- Proficiently use annotation and quality control tools to perform reviews and track quality metrics.
- Become an expert in project guidelines and provide feedback for clarifications or improvements.
- Identify automation opportunities and contribute to documentation of quality standards and procedures.
- At least one year of experience as a data analyst with exposure to data quality and/or data annotation, preferably in an AI/ML context.
- Familiarity with basic concepts of AI/ML pipelines and data.
Competitive salaries and comprehensive benefits. Inclusive environment and support for professional growth.
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