2 дня назад
Final Quality Review
150 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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