
AI Data Science Specialist
1 day ago
Ai Data Quality & Engineering at TaskUs: Ensuring High-Quality Outputs for AI Systems.
TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect, and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in various sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
We aim to create growth for our partners through a culture of constant motion, exploring new technologies, and mastering consistency in an ever-changing world.
The role exists to ensure the integrity and accuracy of testing, training, and evaluation data for AI systems, allowing them to scale rapidly across industries without compromising speed or efficiency.
Key Responsibilities:
- Develop quality assurance processes and SOPs to ensure high-quality outputs.
- Establish quality metrics that align with business objectives and industry standards.
- Continuously review annotation workflows to identify risks and opportunities to increase efficiency and reduce errors.
- Act as a subject matter expert on annotation quality, providing feedback, training, and support to annotators and project teams.
Requirements:
- 3+ years in data quality management, data operations, or related AI/ML roles.
- Proven experience designing QA strategies for large-scale, multi-modal data annotation projects.
- Leadership experience managing remote or distributed teams.
- Strong data-analysis skills and ability to translate findings into actionable recommendations.
- Excellent communication skills with experience presenting data insights to technical and non-technical stakeholders.
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