
AI Data Accuracy Specialist
9 hours ago
We are seeking a diligent and detail-focused Data Quality Analyst to maintain annotation standards and drive continuous improvements in AI data accuracy, efficiency, and scalability.
About the Role
- This is a key position within our organization, responsible for ensuring the quality of annotated datasets and evaluating data quality through metrics such as F1 score and inter-annotator agreement.
- The ideal candidate will have 1+ years of experience as a data analyst with exposure to data quality and/or data annotation, ideally in an AI/ML context.
Responsibilities
- Quality Audits: Conduct thorough quality audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.
- Statistical Reporting: Leverage metrics to evaluate data quality and identify areas for improvement.
- Root Cause Analysis: Analyze annotation errors, trends, and project documentation to identify root causes and propose remediation strategies.
- Edge-Case Management: Resolve and analyze edge-case annotations to ensure quality and identify improvement areas.
- Tooling: Proficiently use annotation and quality control tools to perform reviews and track quality metrics.
- Guidelines: Become an expert in project guidelines and provide feedback for clarifications or improvements.
- Continuous Improvement: Identify automation opportunities and contribute to documentation of quality standards and procedures.
Required Skills
- Familiarity with basic concepts of AI/ML pipelines and data.
- Strong analytical skills with attention to detail.
- Excellent communication and problem-solving skills.
Benefits
We prioritize our employees' well-being with competitive salaries and comprehensive benefits. Our People First culture reflects in departments such as Total Rewards, Wellness, HR, and Diversity.
What We Offer
A collaborative and dynamic work environment with opportunities for growth and development.
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