Data Quality Software Engineer — AI Infra, Remote

HUD; Singapore; Hybrid; SGD 128,000 - 218,000; Full time

Benefits offered by this job

Medical benefits

Lunch and dinner

Holiday break

Equinox membership

Travel budget

Job summary

HUD is seeking a Software Engineer, Data Quality to build tools that help the 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.

You’ll work closely with QNI and research engineers across task review, trajectory inspection, grader checks, quality metrics, and feedback to data creators.

Qualifications

• Strong software engineering fundamentals across frontend, backend, and data systems.
• Proficiency in Python and a modern web stack (TypeScript and React).
• Experience building internal or user-facing products end-to-end.
• Ability to design reliable APIs, data models, and production systems.

Responsibilities

• Build full-stack tools for reviewing tasks and data quality issues.
• Create dashboards and metrics showing quality trends and health.
• Design backend services and data workflows connecting quality checks with task creation.
• Collaborate with QNI and research engineers to scale review methods.
• Move internal tools to production, improving reliability and observability.
• Investigate issues in live workflows to prevent repeat failures.

Skills

Python

TypeScript

React

Full-stack

Data quality

Tools

REST APIs

PostgreSQL

Docker

Job description

HUD is seeking a Software Engineer, Data Quality to build tools that help the 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.

You’ll work closely with QNI and research engineers across task review, trajectory inspection, grader checks, quality metrics, and feedback to data creators.