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2 дня назад

Quality Auditor (AI Trainer)

Формат работы
onsite
Тип работы
fulltime
Английский
b1
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

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TL;DR

Quality Auditor (AI Trainer): Performing systematic quality assessments of data labeling workflows for AGI development with an accent on manual review and validation of automated quality measurements. Focus on coaching data associates, identifying root causes of quality issues, and ensuring strict compliance with AI training standards.

Location: London, UK (Onsite)

Company

hirify.global AI develops AGI Data Services and focuses on maintaining high standards in data quality for AI development and training.

What you will do

  • Conduct quality audits on individual workflows and units delivered by Data Associates.
  • Coach and calibrate co-located Data Associates to improve performance.
  • Provide detailed insights on quality and identify root causes of issues.
  • Perform manual reviews to validate automated quality measurement systems.
  • Document and report quality findings accurately and efficiently.
  • Collaborate with Quality Audit Managers to improve processes and implement best practices.

Requirements

  • C1+ or equivalent fluency in French language.
  • Good working knowledge (B1+) in both spoken and written English.
  • Experience in Machine Learning or Data Labeling operations.
  • Proficiency in Excel and data analysis tools.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Ability to work onsite in London, UK.

Nice to have

  • Prior experience in a quality assurance role within the tech industry.
  • Familiarity with AI and machine learning concepts.
  • Experience with speech or language data.

Culture & Benefits

  • Inclusive culture that empowers employees to deliver results for customers.
  • Commitment to being an equal opportunities employer.
  • Values passion for discovery, invention, and simplification.
  • Strong focus on privacy and security of candidate and employee data.

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