Назад
Company hidden
6 часов назад

Code Data Quality Specialist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
France/UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Code Data Quality Specialist (AI): Reviewing and auditing code annotations to ensure high-quality training data for AI models with an accent on data validation and internal tooling development. Focus on building automation scripts, troubleshooting developer environments, and refining annotation guidelines.

Location: On-site in Paris or London. Visa sponsorship is available.

Company

hirify.global develops frontier open-source AI models for enterprises and consumers to democratize intelligence.

What you will do

  • Generate and validate high-quality code annotations based on rubrics for AI model development and evaluation.
  • Identify systemic issues, edge cases, and gaps in annotation guidelines to improve data quality.
  • Build and maintain internal automation tools, such as visualization dashboards and configuration scripts.
  • Provide technical support to annotators by troubleshooting CLI, Git, and local environment issues.
  • Collaborate with technical program managers and engineers to refine data production processes.

Requirements

  • Degree in Computer Science or 2-5 years of professional experience in software engineering or technical support.
  • Proficiency in Python, JavaScript, or similar languages with the ability to reason about code across multiple languages.
  • Comfortable with Unix-like terminals, shell basics, and Git workflows (branches, merges, conflict resolution).
  • Ability to apply consistent judgment against a rubric and maintain focus during high-volume review work.
  • Professional proficiency in English (strong writing and comprehension).

Nice to have

  • Experience in data annotation for LLM training (SFT, RLHF) or agentic data.
  • Experience building and training annotation teams through interviews.
  • Deep domain depth in frontend, backend, DevOps, or MLOps.
  • Familiarity with inter-annotator agreement and quality measurement metrics.

Culture & Benefits

  • Competitive cash salary and equity.
  • Full health insurance for employees and their families.
  • Daily lunch vouchers and monthly mobility pass contribution.
  • Monthly Gympass subscription contribution.
  • Generous parental leave policy and visa sponsorship.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →