
Data Quality Specialist
7 days ago
About this role
We are seeking a skilled Data Quality Specialist to join our team.
Job Responsibilities- Quality Audits: Conduct thorough quality audits on annotated datasets to ensure they meet established guidelines and benchmarks.
- Statistical Reporting: Utilize metrics such as F1 score and inter-annotator agreement 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 effective remediation strategies.
- Edge-Case Management: Resolve and analyze edge-case annotations to guarantee quality and pinpoint opportunities for enhancement.
- Tooling: Proficiently utilize annotation and quality control tools to perform reviews and track quality metrics.
- Guidelines: Become an expert in project guidelines and provide valuable feedback for clarifications or improvements.
- Continuous Improvement: Identify automation opportunities and contribute to the documentation of quality standards and procedures.
The ideal candidate will possess 1+ years of experience as a data analyst with exposure to data quality and/or data annotation, ideally in an AI/ML context. They will be familiar with basic concepts of AI/ML pipelines and data, and exhibit strong analytical and problem-solving skills with an exceptional attention to detail.
Required Skills and Qualifications:
- Data analysis and quality assurance experience.
- Familiarity with AI/ML pipelines and data concepts.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
Benefits:
This role offers a unique opportunity to work with cutting-edge technology and make a meaningful impact on data quality. Our team is passionate about delivering high-quality results, and we're looking for someone who shares our commitment to excellence.
How to Apply:
If you're a motivated and detail-oriented individual with a passion for data quality, we encourage you to apply for this exciting opportunity.
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