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What the work is
Role Overview
Lead the quality strategy for large-scale AI training data and annotation programs. You will define quality standards, manage quality teams, oversee audits, and ensure accurate, consistent, and timely delivery in a fast-paced environment with tight turnaround times.
Key Responsibilities
- Define quality standards, metrics, and targets across data types.
- Build and lead Quality Leads and QA teams.
- Develop audit, sampling, calibration, and escalation frameworks.
- Lead client quality reviews and manage quality-related escalations.
- Partner with Project Leads to balance quality, speed, and cost.
- Identify root causes and implement lasting improvements in processes, training, and guidelines.
- Monitor quality reports and drive corrective actions.
Who gets hired
- 8+ years of experience, including 4+ years leading teams.
- Strong experience in quality management and high-volume operations.
- Proven ability to design and scale quality systems.
- Excellent analytical, communication, and stakeholder-management skills.
- Experience leading managers or team leads.
- Experience in annotation, data labeling, AI training data, multimodal, or LLM evaluation projects is preferred.
Offer Details
- This is a project-based role involving a defined number of evaluation tasks.
- Each task will involve comparing multiple chatbots and providing a final assessment.
- Work Schedule: Five working days per week, including weekends as required, with two weekdays off.
- Work Hours - 7am-4pm PST
- Duration: 16 weeks.
The platform posted this on 12 Oct 2026.