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Raydar

Quality Control Lead

Posted 15 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
150K-275K Annually
Entry level
In-Office
San Francisco, CA, USA
150K-275K Annually
Entry level
Build and lead an independent quality function for technical deliverables. Establish review workflows, scoring guides, and acceptance standards; inspect code and reasoning materials; identify defect patterns; coach contributors; automate quality checks with infrastructure engineers; and report error rates, root causes, and improvement progress to leadership.
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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

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