Software Engineer, Data Quality

About HUD

About the role

Were looking for a Software Engineer Data Quality to build the tools that help HUDs Quality and Intelligence (QNI) team assess and improve training data and evals for frontier agents. Youll turn hands-on quality workflows into reliable internal products then bring the most useful capabilities into HUDs production platform.

Youll work closely with QNI and research engineers across task review trajectory inspection grader checks quality metrics and feedback to data creators. The work spans interfaces backend services and data workflows with a focus on making quality issues easier to find understand and fix.

Responsibilities

• Build full-stack tools for reviewing tasks inspecting agent trajectories checking graders and investigating data quality issues

• Create dashboards and metrics that show quality trends failure modes and the health of review and validation workflows

• Design backend services APIs and data workflows that connect quality checks with task creation evaluation and feedback to data creators

• Work with QNI and research engineers to turn evolving review methods into clear efficient workflows that scale beyond manual analysis

• Move proven internal tools into production improving their reliability usability and observability as adoption grows

• Investigate issues in live workflows and use what you learn to improve the platform and prevent repeat failures

Experience

You may be a good fit if you have:

• Strong software engineering fundamentals and the ability to build across frontend backend and data systems

• Proficiency in Python and a modern web stack such as TypeScript and React or comparable tools

• Built internal or user-facing products end-to-end from understanding a workflow through shipping and improving it

• Sound judgment about APIs data models and production systems including how to make them reliable and easy to debug

• An ability to turn ambiguous quality problems into useful interfaces automation and measurable checks

• Clear communication and comfort working closely with research and quality teams to understand how people use the tools you build

Strong candidates may also have:

• Built tooling for data review annotation evals benchmarks or ML workflows

• Worked with agent traces graders reward signals or RL training data

• Designed dashboards observability tools or review workflows for complex datasets and pipelines

• Improved a prototype or internal tool until it was ready for wider production use

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they dont meet all criteria.

Team & company details

• Team Size : 25 people currently mostly full-time in-person but some remote.

• Our team: Our team includes 4 International Olympiad medalists (IOI ILO IPhO) serial AI startup founders and researchers with publications at ICLR NeurIPS etc.

• Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.

Logistics

• Employment : Full-time.

• Location : We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.

• Visa Sponsorship : We provide support for relocation and visas for strong full-time candidates to the US or Singapore.

• Timeline : Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.

What we offer

• Competitive compensation

• 100% covered top-of-the-line medical dental and vision from Blue Shield of CA (US employees)

• Lunch and dinner when youre in the office (in-office employees)

• Company-wide holiday break (Christmas Eve to New Years Day) on top of PTO and paid holidays

• Other perks including an Equinox membership 401k and commuter benefits (US employees)

• Unlimited* access to tokens for ChatGPT Claude Code Cursor etc. * By unlimited we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

Compensation

Actual offers are adjusted for experience and location but our base salary bands are

• San Francisco (and other major US cities): $130000 - $225000

• Singapore: $100000 - $170000

• Rest of world: $80000 - $170000

Due to high volume we may not actively respond to every application but feel free to contact us at or elsewhere if we missed your application!

Required Experience:

IC