
AI Data Quality Expert
1 day ago
About this role: We are seeking a highly skilled Data Quality Specialist to join our team. In this exciting position, you will play a crucial role in ensuring the quality of our annotated datasets.
Key Responsibilities:
- Data Analysis
- Perform thorough audits on annotated data to verify compliance with established guidelines and benchmarks.
- Analyze statistical quality metrics such as F1 score and inter-annotator agreement to assess data quality.
- Examine annotation errors, trends, project processes, and documentation to identify root causes and propose remediation strategies.
- Resolve edge-case annotations to ensure quality and pinpoint areas for improvement.
- Become proficient in using annotation and quality control tools to perform reviews and track quality metrics.
- Become an expert in project-specific guidelines and provide feedback for potential clarifications or improvements.
- Continuous Improvement
- Identify opportunities to leverage automation and enhance analytics, providing deeper insights and improved efficiency.
- Maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures.
- Offer regular feedback that highlights areas for improvement across the annotation pipeline.
Required Skills and Qualifications:
- At least 1 year of experience as a data analyst with exposure to data quality and/or data annotation, preferably within an AI/ML context.
- Familiarity with basic concepts of AI/ML pipelines and data.
- Strong analytical and problem-solving skills, with exceptional attention to detail.
- Excellent written and verbal communication skills, with the ability to clearly articulate quality issues and collaborate with diverse teams.
- Ability to work independently and manage time effectively to meet deadlines.
- A strong problem-solver who thinks critically and drives innovation and continuous optimization.
- A quick learner with the ability to work independently in a fast-paced environment.
- A strong focus on detail, balanced against strategic priorities.
- A positive can-do attitude and the ability to easily adapt to new environments.
- Not afraid to speak up.
Benefits:
We prioritize employee well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a collaborative culture is reflected in the various departments we have established.
Training:
Assist with training annotators, providing guidance, feedback, and support to ensure high-quality data.
Cross-Functional Teamwork:
Work closely with key project stakeholders and clients to understand project requirements and improve annotation pipelines.
Reporting:
Provide regular updates that highlight data quality metrics, key findings, and actionable insights for continuous process improvements.
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