
Enhancing AI Systems through Precise Data
1 day ago
TaskUs is seeking an experienced leader to oversee AI data quality across its operations.
- Develop and implement quality assurance processes and standard operating procedures to ensure high-quality outputs.
- Establish comprehensive quality metrics that align with business objectives and industry standards.
- Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
- Act as the subject matter expert on annotation quality, providing ongoing feedback, training, and support to annotators and project teams.
Key Responsibilities:
The ideal candidate will have a strong background in data quality management and experience working with large-scale data annotation projects.
He/She will lead a team of Data Quality Analysts and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability.
Manage the configuration and integration of annotation and quality control tools, ensuring optimal tool performance and alignment with project requirements.
Analysis & Reporting:
- Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors.
- Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
- Prepare and deliver strategic quality reports to senior management and clients, articulating quality trends, risks, and improvement plans.
Operational Leadership:
- Provide ongoing feedback, training, and support to annotators and project teams.
- Develop and implement quality assurance processes and standard operating procedures to ensure high-quality outputs.
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