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 hands-on with research stakeholders to design, build and quality-check the datasets used in machine learning work. Write code, review output closely, and refine methods based on feedback after delivery.
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.
- Develop quality checks and grading approaches together with subject matter experts.
- Spot unclear instructions, incorrect answers and tasks that encourage unintended behavior.
- Investigate issues found during review or delivery, fix root causes, and apply lessons to later datasets.
Requirements
What we're looking for
- Solid coding ability, with a background in data processing, automation or applied AI work.
- A track record of shipping and maintaining live software in production.
- Having owned projects from first requirements through to launch.
- Skill at translating an open-ended research question into a practical technical plan and testing whether it holds up.
- A meticulous approach to data quality, and comfort digging into individual records to find inconsistencies.
- Clear communication with researchers and domain experts while requirements are still evolving.
- Prior experience in a high-caliber startup environment.
- Must be able to work from the office five days a week in the Bay Area; relocation support is not offered.
Bonus points
- Exposure to autonomous agent setups, model serving or evaluation tooling.
- Familiarity with artificially generated training data.
- Degree from a top engineering university.
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
- Solid coding ability with experience in data processing, automation, or applied AI
- Track record of shipping and maintaining live software in production
- Experience owning projects from initial requirements through launch
- Ability to translate open-ended research questions into practical technical plans and test them
- Meticulous approach to data quality and ability to investigate individual records for inconsistencies
- Clear communication with researchers and domain experts while requirements evolve
- Prior experience in a high-caliber startup environment
- Ability to work from the office five days per week in the Bay Area
- Exposure to autonomous agent setups, model serving, or evaluation tooling
- Familiarity with artificially generated training data
- Degree from a top engineering university
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.
