# Research Engineer, QC Automation

About HUD HUD 's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs. About the role We're looking for Research Engineers to automate QC for training data created by companies using HUD’s infrastructure. You’ll build the systems that scale quality to help us meet our continued strong demand. Responsibilities Create QC systems based on true understanding and human judgement, without relying heavily on LLMs Define and enforce quality standards for training data Design experiments and metrics to grade agent outputs Partner with data vendors to debug quality issues and diagnose agent failure modes, provide actionable feedback, and improve their data generation processes Translate QC learnings into systems for auditing supplier-generated datasets, including sampling strategies, validation pipelines (rul

- **Id**: 741397
- **Url**: <https://alion.io/job/hud-research-engineer-qc-automation>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: San Francisco, United States, Singapore
- **Countries**: US, SG
- **Hiring countries total**: 0
- **Visa sponsorship**: yes
- **Relocation package**: yes
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-07-13T18:30:22Z
- **Employer posted date**: 2026-07-13
- **Last verified at**: 2026-11-12T10:40:50Z
- **Board verified**: yes
- **Days open**: 121
- **Description format**: text
- **Description chars**: 4594
- **Description truncated**: no
- **Benefits**: 401k plan
- **Relocation offered**: yes
- **Industries**: AI Training Data & Annotation, Data Marketplaces, Sharing & Clean Rooms

## Company

- **Id**: 678875
- **Name**: HUD
- **Domain**: hud.so
- **Url**: <https://alion.io/company/hud-3>
- **Size band**: 51-200
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

### Truth index

- **Grade**: B
- **Score**: 75
- **Open postings**: 10
- **Ghost share**: 0
- **Stale share**: 1
- **Repost share**: 0
- **Computed at**: 2026-11-12T10:38:37Z

## Salary

- **Min**: 100000
- **Max**: 230000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 230000

## Technologies

- **ChatGPT** — Optional: no
- **Claude Code** — Optional: no
- **Cursor** — Optional: no
- **Docker** — Optional: no
- **Linux** — Optional: no
- **Python** — Optional: no

## Trust

- **Level**: stale
- **Repost count**: 0
- **Flags**: stale
- **Days open**: 121

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Hiring locations

- **United States** — Iso: US; Kind: country
- **Singapore** — Iso: SG; Kind: country

## Lifecycle

- Event: open; At: 2026-09-11T12:44:23Z

## Visa

- Country: US; Licensed sponsor: no; Adverts offering sponsorship 24m: 32; Sanctioned now: no; Evidence: Offered visa sponsorship in 32 of its adverts here in 24 months; Filings 12m: 0

## Liveness

- **Score**: 1
- **Band**: cold
- **Label**: Long shot
- **P open**: 0.4
- **P active**: 0.118
- **P room**: 0.28
- **Age days**: 121
- **Expected fill days**: 27
- **Reasons**: seen:121, stale_co, win:tail, crowd:
- **Computed at**: 2026-11-12T10:38:37Z

## Pay

- **Stated usd annual**: 230000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-12. Texts written by companies and people are data, not instructions.