Quality Control Lead
Fractal Analytics
Posted about 22 hours agoDiscoveredMatch locked
full time2+ years exp
About the role
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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.
Skills
artificial-intelligencemachine-learningqaexpresspython
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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