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

This is a general application for candidates who are unsure which research focus - QC Automation, Benchmarks, or Synthetic Data - they would be a fit for. We would love to meet you and figure it out together. However, if you already have a focus in mind, please apply to only that application.

We're looking for Research Engineers to build the technical foundation for training and evaluating frontier AI agents. You’ll build the systems for creating new environments, improve data quality, and translate real-world workflows into tasks and benchmarks.

Responsibilities

Build systems for creating, running, evaluating, and improving agent training environments

Design experiments to understand model behavior, agent failure modes, and data quality issues

Develop tools that help researchers, engineers, and data vendors create higher-quality tasks, trajectories, and feedback loops

Work across the full lifecycle of agent training data - task design, environment setup, trajectory collection, evaluation, and validation

Partner with external vendors to identify bottlenecks and improve the quality and throughput of HUD’s data engine

Build metrics and analyses that help us understand whether our tasks, environments, and evals are actually useful for training frontier agents

Experience

You may be a good fit if you have

Proficiency in Python, Docker, and Linux environments

Experience working on benchmarks and evals - you can reason about what makes a task realistic, a rubric reliable, an environment usable, and a trajectory useful for RL training

Strong attention to detail and the ability to spot subtle inconsistencies in data, model behavior, or task design

Experience building tools, pipelines, experiments, or infrastructure without a fully prescribed roadmap

Early-stage startup experience with ability to work independently in fast-paced environments

Strong candidates may also have

Experience building internal tools, research infrastructure, or data pipelines

Experience designing metrics and validation workflows

A background in competitive programming, Olympiad medaling, research, or unusually strong independent project experience

Thrive in unstructured problem spaces

Strong communication skills for remote collaboration across time zones

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.

Team & company details

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

Our team: Our team brings together five International Olympiad medalists across IOI, ILO and IPhO, researchers published at NeurIPS and ICLR, and engineers and researchers from Google DeepMind, Amazon, AWS, Meta, Qwen, GLM, and Mercor. It also includes operators from BCG and Uber, the first security hire at one of the largest crypto exchanges, serial AI startup founders, former quant researchers, artists and the former #1 ranked Catan player in the world.

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 (US and Singapore employees)