{"id":1548550,"url":"https://alion.io/job/hud-software-engineer-data-quality","title":"Software Engineer, Data Quality","company":{"id":678875,"name":"HUD","domain":"hud.so","url":"https://alion.io/company/hud-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Singapore"],"countries":["US","SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":146000,"max_usd":304000,"period":"year","method":"role_country_seniority_unknown","sample_n":5985},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-30T18:51:27Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T18:04:27Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About HUD\nHUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.\nAbout the role\nWe’re looking for a Software Engineer, Data Quality to build the tools that help HUD’s Quality and Intelligence (QNI) team assess and improve training data and evals for frontier agents. You’ll turn hands-on quality workflows into reliable internal products, then bring the most useful capabilities into HUD’s production platform.\nYou’ll 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.\nResponsibilities\nBuild full-stack tools for reviewing tasks, inspecting agent trajectories, checking graders, and investigating data quality issues\n\nCreate dashboards and metrics that show quality trends, failure modes, and the health of review and validation workflows\n\nDesign backend services, APIs, and data workflows that connect quality checks with task creation, evaluation, and feedback to data creators\n\nWork with QNI and research engineers to turn evolving review methods into clear, efficient workflows that scale beyond manual analysis\n\nMove proven internal tools into production, improving their reliability, usability, and observability as adoption grows\n\nInvestigate issues in live workflows and use what you learn to improve the platform and prevent repeat failures\n\nExperience\nYou may be a good fit if you have:\nStrong software engineering fundamentals and the ability to build across frontend, backend, and data systems\n\nProficiency in Python and a modern web stack such as TypeScript and React, or comparable tools\n\nBuilt internal or user-facing products end-to-end, from understanding a workflow through shipping and improving it\n\nSound judgment about APIs, data models, and production systems, including how to make them reliable and easy to debug\n\nAn ability to turn ambiguous quality problems into useful interfaces, automation, and measurable checks\n\nClear communication and comfort working closely with research and quality teams to understand how people use the tools you build\n\nStrong candidates may also have:\nBuilt tooling for data review, annotation, evals, benchmarks, or ML workflows\n\nWorked with agent traces, graders, reward signals, or RL training data\n\nDesigned dashboards, observability tools, or review workflows for complex datasets and pipelines\n\nImproved a prototype or internal tool until it was ready for wider production use\n\nWe prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.\nTeam & company details\nTeam Size: ~25 people currently, mostly full-time in-person, but some remote.\n\nOur team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.\n\nCompany stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.\n\nLogistics\nEmployment: Full-time.\n\nLocation: 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.\n\nVisa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.\n\nTimeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.\n\nWhat we offer\nCompetitive compensation\n\n100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)\n\nLunch and dinner when you’re in the office (in-office employees)\n\nCompany-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays\n\nOther perks including an Equinox membership, 401k, and commuter benefits (US employees)\n\nUnlimited* 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.\n\nDue 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!","description_format":"text","description_chars":4541,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-30T22:55:05Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":36,"reasons":["conf:6","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hud-software-engineer-data-quality","json_url":"https://alion.io/job/hud-software-engineer-data-quality.json","meta":{"generated_at":"2026-10-02T03:00:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4098,"day_limit":5000,"remaining_today":902,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}