QC Manager
TLDR
Lead quality control for AI data collection and video auditing, building SOPs, scoring systems, and quality evaluation frameworks.
Job Description
Lead the Quality Control function for AI data collection, and video auditing
Develop and maintain SOPs, quality standards, audit guidelines, and QC processes.
Monitor auditor performance, accuracy, error rates, and overall quality metrics.
Conduct regular quality audits and identify recurring issues, gaps, and root causes.
Establish QC scoring systems, checklists, and quality evaluation frameworks.
Provide feedback, coaching, and calibration sessions to improve team accuracy and consistency.
Collaborate with Operations, Training, and other teams to resolve quality issues and improve processes.
Prepare quality reports and provide data-driven recommendations to management.
Lead and develop the QC team to achieve quality and operational targets.
Job Requirements
Bachelor’s degree in Business, Engineering, Data, Management, or a related field.
3–5 years of experience in Quality Control, Quality Assurance, Audit, Operations, or related fields.
Experience managing a QC/QA team in a high-volume operational environment.
Proven experience creating and implementing SOPs, quality standards, and QC processes.
Strong analytical, problem-solving, and attention-to-detail skills.
Strong leadership and communication skills.
Fluent in Mandarin Chinese (spoken and written) — MUST.
Good command of English, both spoken and written.
Proficient in Excel/Google Sheets and comfortable working with operational data.
Experience in AI data collection, data annotation, video auditing, content moderation, or AI/ML operations is a strong plus.
XDOF is a data engine focused on empowering the robotics industry by creating high-quality data collection systems and an extensive data infrastructure. We serve frontier AI and humanoid robotics labs, providing them with the tools and data necessary to develop general-purpose robots efficiently. Our unique combination of operational capabilities and a model fine-tuning loop ensures exceptional data quality, making us an indispensable partner in this rapidly evolving field.