
AI Data Quality Expert
1 day ago
As a data quality expert, you will be responsible for ensuring the accuracy and consistency of annotated datasets used in AI/ML pipelines. This involves conducting quality audits to verify that datasets meet established guidelines and quality benchmarks.
Key Responsibilities:
- Perform thorough reviews of annotated datasets to ensure they meet required standards.
- Utilize statistical metrics such as F1 score and inter-annotator agreement to evaluate dataset quality.
- Analyze annotation errors, trends, project processes, and project documentation to identify root causes of errors and propose corrective actions.
- Resolve and analyze edge-case annotations to guarantee quality and identify areas for improvement.
Continuous Improvement:
- Identify opportunities to leverage automation to enhance analytics, provide deeper insights, and improve efficiency.
- Develop and maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures.
- Provide regular feedback that highlights areas for improvement across the annotation pipeline.
Collaboration & Communication:
- Work closely with key stakeholders and clients to understand project requirements and improve annotation pipelines.
- Assist with training annotators, providing guidance, feedback, and support to ensure data quality.
- Offer regular updates that highlight data quality metrics, key findings, and actionable insights for continuous process improvements.
- 1+ years of experience as a data analyst with exposure to data quality and/or data annotation - ideally within an AI/ML context.
- Familiarity with basic concepts of AI/ML pipelines and data.
- Strong analytical and problem-solving skills with an exceptional eye for detail.
- Excellent written and verbal communication skills, with the ability to clearly articulate quality issues and collaborate with diverse teams.
Benefits:
We are committed to creating a collaborative and supportive work environment that fosters growth and development. Our team is dedicated to delivering high-quality results and continuously improving our processes.
Others:
TaskUs is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to protecting your personal data and adhere to all relevant laws and regulations.
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