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13 дней назад

Quality Control Lead (AI Data)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Indonesia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Quality Control Lead (AI Data): Leading quality control for AI data collection and video auditing with an accent on SOPs, audit guidelines, scoring systems, and operational quality metrics. Focus on coaching QC teams, identifying root causes of recurring issues, and using data-driven recommendations to improve accuracy and consistency.

Location: Jakarta, Indonesia — onsite

Company

hirify.global operates an AI data collection and video auditing function within its Operations department.

What you will do

  • Lead quality control for AI data collection and video auditing.
  • Develop and maintain SOPs, quality standards, audit guidelines, checklists, and QC processes.
  • Monitor auditor performance, accuracy, error rates, and quality metrics.
  • Conduct regular audits, identify recurring issues and root causes, and implement improvements.
  • Provide feedback, coaching, and calibration sessions to improve team accuracy and consistency.
  • Prepare quality reports and lead the QC team toward operational targets.

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 a related field.
  • Experience managing a QC or QA team in a high-volume operational environment.
  • Experience creating and implementing SOPs, quality standards, and QC processes.
  • Strong analytical, problem-solving, leadership, communication, and attention-to-detail skills.
  • Fluent Mandarin Chinese, spoken and written, is required; good command of English is also required.

Nice to have

  • Experience with AI data collection, data annotation, video auditing, content moderation, or AI/ML operations.
  • Proficiency in Excel or Google Sheets and comfort working with operational data.

Culture & Benefits

  • Full-time role in the Operations department.
  • Collaboration with Operations, Training, and other teams to resolve quality issues and improve processes.

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