Über die Stelle
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