Роль сочетает понятную ответственность за качество данных для ИИ и руководство командой, хотя широкий круг операционных задач может означать много ежедневной рутины.
?Широкая зона ответственности
Работа на переднем крае ИИ
Понятная ответственность
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Quality Lead, Gen AI (AI/quality operations): Leading quality control for generative AI data programs, including multilingual post-training data and agentic RL environments, with an accent on team leadership, measurable quality standards, and scalable operations. Focus on analyzing defect patterns, planning workforce capacity, and building agentic capabilities to optimize quality control.
Location: San Francisco, CA; New York, NY. The posting also lists Seattle among the position locations for pay transparency.
Salary: $134,400–$168,000 USD annual base salary, with potential equity and benefits.
Company
Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for leading models and AI applications.
What you will do
Lead, hire, coach, and calibrate a large team of quality control specialists.
Translate customer requirements into measurable data-quality standards with delivery teams.
Run daily quality operations, including workforce planning, capacity allocation, reporting, productivity measurement, and quality-control policies.
Analyze quality trends, identify root causes, and escalate defect patterns for corrective action.
Lead strategic initiatives and decide what agentic capabilities should be built next to scale and optimize quality operations.
Requirements
Bachelor’s degree in Computer Science, Engineering, Operations, or a related field.
3+ years of experience leading teams or scaling large operational or technical processes.
Strong analytical and problem-solving skills, particularly in SQL, with attention to detail.
Experience building systems, processes, and teams across multiple customer segments or product lines.
Hands-on background in product management, operations management, program management, or top-tier management consulting.
Proven ability to take initiative in cross-functional technical environments.
Nice to have
Master’s degree in Computer Science, Engineering, Operations, or a related field.
Experience in AI/ML services, data annotation, or model evaluation.
Experience in a fast-growing, less-structured startup environment.
Experience building teams from the ground up.
Culture & Benefits
Full-time position with base salary, potential equity compensation, and comprehensive health, dental, and vision coverage.
Retirement benefits, a learning and development stipend, and generous paid time off.
The role may include a commuter stipend and other location-dependent benefits.
Inclusive equal opportunity workplace with reasonable accommodations for applicants with disabilities.
Hiring process
Salary level and eligibility for equity are determined during the interview process based on location, skills, experience, qualifications, interview performance, and education or training.
Candidates may not be reconsidered for the same role until 90 days after a prior application.
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