Quality Control Lead

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Role Details

Company: US-based AI research and data company

Location: San Francisco, California

Employment Type: Full-time

Work Arrangement: On-site, five days a week

Salary: $150,000–$275,000

Experience: 2–10 years

Visa Sponsorship: Possible for eligible candidates

Tech stack: Python, Claude Code

About the Company

An applied AI company specialising in high-quality training data for advanced AI models. Its work supports leading AI research organisations by providing reliable datasets used to train and improve AI systems.

The company is growing rapidly and investing in automated quality assurance to ensure the accuracy, consistency, and reliability of its data.

About the Role

The company is hiring a Quality Control Lead to establish and own its quality control function. As the first dedicated quality hire, you will build review processes, define quality standards, and ensure datasets meet the required standards before delivery.

This is a highly technical, hands-on role combining data evaluation, quality assurance, process development, and automation. You will work closely with operations, data teams, and infrastructure engineers, reporting directly to the Head of Operations.

Responsibilities

• Audit code, reasoning data, and AI training datasets for accuracy, consistency, and compliance with quality standards.

• Build QC processes, review frameworks, and grading criteria from scratch.

• Identify recurring errors and work with internal teams to improve data quality and contributor training.

• Collaborate with engineers to automate quality checks and streamline review workflows.

• Track quality metrics, investigate root causes, and report findings to leadership.

Requirements

• 2–10 years of experience in software engineering, data science, machine learning, or a related technical field.

• Professional experience building or leading QA/QC processes for technical products or data-focused environments.

• Hands-on experience reviewing and evaluating code, datasets, or AI outputs for correctness and quality.

• Ability to identify errors and assess the correctness, structure, and quality of technical data.

• Experience developing quality standards, review criteria, or automated validation tools.

• Ability to work independently and establish quality processes from scratch.

Benefits

• Competitive salary of $150,000–$275,000.

• Competitive equity package.

• Daily meals provided.

• Wellness stipend.

Interview Process

• Candidate submission and review.

• Recruiter screening.

• Behavioral interview.

• Live case study.

• Full-day on-site interview.

• Offer and hiring.