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2 дня назад

Final Quality Review

150 000 - 275 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Final Quality Review (AI Trainer): Own the last quality checkpoint before datasets are delivered or published, auditing outputs for correctness, clarity, structure, and adherence to specifications. Focus on designing and improving QC workflows, reporting quality metrics, and partnering with data delivery teams to prevent systemic quality issues.

Location

Location: San Francisco, On-site

Salary

$150K – $275K per year, with equity and bonus opportunities

Company

hirify.global is an applied research lab curating data solutions for foundation model development, serving leading AI labs with a mission to deliver the best data to power foundation models.

What you will do

  • Own the final quality checkpoint before dataset delivery, auditing code, technical, and reasoning data for correctness and adherence to specifications
  • Collaborate with infrastructure engineers to automate and improve quality control workflows
  • Partner with data delivery teams to identify and prevent systemic quality issues through feedback and contributor training
  • Manage quality metrics and KPIs, reporting error rates and improvement trends to leadership
  • Support company-wide operational initiatives across building, analysis, coordination, and execution

Requirements

  • Location: Must work on-site in San Francisco
  • 3+ years technical experience in software engineering, data science, ML engineering, or similar with proficiency in at least one modern programming language
  • Proven ability to review and evaluate code and technical data for quality and correctness
  • Experience leading quality assurance/control functions for technical or data-centric products
  • High attention to detail and strong judgment on ambiguous technical content
  • Strong leadership and communication skills to provide actionable feedback across distributed teams
  • Passion for AI and entrepreneurial mindset

Nice to have

  • Experience in AI training data, RLHF, or data-annotation quality assurance
  • Background reviewing datasets across multiple domains including code and reasoning
  • Experience designing rubrics, grading criteria, or automated QC tooling/scripts
  • Familiarity with AI-assisted workflow tools like Claude Code
  • Computer science degree or equivalent engineering background

Culture & Benefits

  • Health insurance including medical, vision, and dental
  • 401(k) plan with employer match
  • Daily UberEats stipend for meals
  • Monthly wellness stipend
  • Commute expenses covered

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