About the company
Our client is a fast-growing technology company.
The role
Raydar is recruiting for this role on behalf of our client. Set up and lead a brand-new quality function that acts as an independent audit step ahead of every delivery. Shape the standards and scoring approach, measure results, and partner with operations and engineering colleagues to stop issues from recurring.
What you'll do
- Serve as the independent final reviewer, inspecting technical deliverables such as code and reasoning material to confirm they are accurate, well formed and match the agreed specification.
- Create the quality function from scratch, including review workflows, scoring guides and acceptance standards.
- Work alongside team leads and delivery groups to uncover patterns behind defects and turn the findings into better contributor coaching.
- Team up with infrastructure engineers to automate checks and tooling so that known defects do not come back.
- Track and report on error rates, underlying causes and progress over time to operations and senior leadership.
Requirements
What we're looking for
- Hands-on skill at examining and troubleshooting code and other technical or knowledge-based content for accuracy and sound structure.
- Prior technical work building or managing quality assurance for a data-heavy or technical product.
- Quality work that formed a central, ongoing part of a full-time job rather than an occasional side project.
- Self-directed approach, able to start contributing immediately and judge when work is ready to go out.
Bonus points
- Degree in computer science or another STEM field.
- Full-time background at a company that produces human-generated or training data for machine learning.
- Experience creating scoring guides, evaluation standards or scripted quality-check tools.
- Grounding in data science, statistics or mathematics.
- Full-time experience in quality assurance for annotation or model-training data.
Benefits
Compensation and benefits
- Base salary: USD 150,000 to 275,000 per year
- Equity
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in the office
- Full-time
Skills Required
- Hands-on experience examining and troubleshooting code and other technical or knowledge-based content for accuracy and structure
- Prior technical work building or managing quality assurance for a data-heavy or technical product
- Quality assurance work as a central, ongoing responsibility in a full-time role
- Self-directed approach with the ability to contribute immediately and determine when work is ready for release
- Degree in computer science or another STEM field
- Full-time experience at a company producing human-generated or machine-learning training data
- Experience creating scoring guides, evaluation standards, or scripted quality-check tools
- Background in data science, statistics, or mathematics
- Full-time quality assurance experience for annotation or model-training data
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
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