
High-Performance AI Data Quality Specialist
13 hours ago
The Role Involves Archiving High-Quality Annotation Workflows to Ensure Optimal Performance of AI Models.
Key Responsibilities Include:
- Designing and Executing QA Strategies for Large-Scale Data Annotation Projects.
- Developing and Refining Quality Assurance Processes and SOPs to Ensure Consistency in Outputs.
- Continuously Reviewing Annotation Workflows to Identify Risks and Opportunities for Improvement.
Responsibilities Also Include Acting as a Subject Matter Expert on Annotation Quality, Providing Ongoing Feedback and Support to Annotators and Project Teams.
Additional Tasks Involve Establishing Quality Metrics that Align with Business Objectives and Industry Standards.
The Ideal Candidate Will Possess Excellent Communication Skills, Experience Presenting Data Insights to Technical Stakeholders, and Proficiency in Excel and Google Sheets.
A Motivated Professional With Experience in Data Quality Management, Data Operations, or Related AI/ML Roles is Encouraged to Apply.
Preferred Qualifications Include Familiarity With Python and SQL.
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