
Senior AI Data Annotation Leader
1 day ago
About TaskUs: As a leading provider of outsourced digital services, our company offers next-generation customer experience to fast-growing technology firms. Leveraging cloud-based infrastructure, we serve clients in rapidly expanding sectors such as social media, e-commerce, gaming, and streaming media.
The People First culture has enabled the company to expand its workforce globally, with a presence in twenty-three locations across twelve countries. We prioritize our employees' well-being by offering competitive salaries and comprehensive benefits packages, promoting an inclusive environment and positive impact on the community.
We are seeking a proactive leader who can architect and uphold high-quality annotation workflows for AI systems. This role involves ensuring the integrity and accuracy of testing, training, and evaluation data without compromising speed or efficiency.
The Role's Key Responsibilities- Lead and guide a team of Data Quality Analysts, setting clear quality goals, delivering feedback, and fostering a culture of precision and accountability.
- Develop and refine robust QA processes, SOPs, and statistical quality metrics (e.g., F1 score, inter-annotator agreement) to protect the integrity of annotation outputs.
- Create dashboards and reports that reveal quality trends, root causes of errors, and improvement opportunities - communicating these insights to leadership and clients.
- 3+ years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments.
- Proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects.
- Proven leadership skills managing remote or distributed teams.
- Deep understanding of data annotation processes, quality assurance methodologies, and statistical quality metrics.
- Strong data-analysis skills, with ability to interrogate large datasets and perform statistical analyses.
- Excellent communication skills, presenting complex data and quality insights to technical and non-technical stakeholders.
- Remote-first flexibility: Work from anywhere you're most productive.
- Every challenge is new: Work on first-of-their-kind problems at the frontier of AI safety.
- Visible impact: Your architectures directly influence how the world's leading AI teams mitigate risk.
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