About the company
Our client is a fast-growing technology company.
The role
Raydar is recruiting for this role on behalf of our client. Work directly with external research teams to shape, build and quality-check the datasets they rely on. You will write code, collaborate with subject matter experts, and stay engaged as the data is put to use, feeding lessons back into later deliveries.
What you'll do
- Partner with researchers to define dataset requirements and review early samples before scaling up production.
- Build data pipelines and automated workflows for generating tasks, preparing reference outputs and validating results.
- Create quality checks and grading approaches together with subject matter experts.
- Spot unclear instructions, wrong answers and tasks that encourage unintended behavior.
- Investigate issues found in review or delivery, fix root causes and apply the lessons to future datasets.
Requirements
What we're looking for
- Willingness to work in the office full time at the location below; relocation support is not provided.
- Solid software engineering skills, with a track record of shipping products and workflow automation.
- Depth in full-stack or backend development, for example with Python or TypeScript.
- Hands-on background creating data processing pipelines, automated systems or applications that use machine learning.
- Familiarity with assessing model behavior, generated datasets or autonomous agent systems.
- Ability to turn an open-ended research question into a practical technical plan and judge whether it works.
- A meticulous approach to data quality, including comfort reading individual records and tracing the cause of discrepancies.
- Clear client-facing communication with researchers, subject matter experts and business customers, especially while requirements are still taking shape.
- A degree from a leading engineering university (dropouts welcome).
Bonus points
- Background in pipeline or data-focused businesses.
Benefits
Compensation and benefits
- Base salary: USD 200,000 to 400,000 per year
- Equity
- Commission
- Health, dental and vision coverage
Location and work model
- San Francisco Bay Area, CA, United States
- On-site, 5 days per week in office
- Full-time
Skills Required
- Willingness to work full time in the office in the San Francisco Bay Area; relocation support is not provided
- Solid software engineering skills and a track record of shipping products and workflow automation
- Depth in full-stack or backend development, such as Python or TypeScript
- Hands-on experience creating data processing pipelines, automated systems, or machine learning applications
- Familiarity with assessing model behavior, generated datasets, or autonomous agent systems
- Ability to translate open-ended research questions into practical technical plans and evaluate results
- Meticulous approach to data quality, including reviewing individual records and tracing discrepancies
- Clear client-facing communication with researchers, subject matter experts, and business customers
- Degree from a leading engineering university; dropouts are welcome
- Background in pipeline or data-focused businesses
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.
