Research Engineer, Synthetic Data

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 build our synthetic data pipeline. You’ll turn domain-specific workflows into synthetic training tasks that are realistic enough to enough to teach useful behavior, structured enough to generate at scale, and difficult enough to expand model capabilities.

Responsibilities

Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains

Design synthetic task generation methods that produce diverse, realistic, and learnable tasks

Build systems and tooling to mutate, validate, and improve synthetic tasks

Analyze model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail

Develop metrics to quantify and understand synthetic task diversity, realism, learnability, etc.

Experience

You may be a good fit if you have:

Proficiency in Python, Docker, and Linux environments

Have experience with synthetic data research methods - please elaborate in your application

Strong understanding of what “good synthetic data” means and its limitations

Built synthetic data pipelines end-to-end without a fully prescribed roadmap

Experience working on environments, evals, and benchmarks

Strong candidates may also:

Be detail-oriented and able to spot subtle inconsistencies or edge cases in synthetic data

Be able to reason from first principles about task design, scoring, and failure modes

Thrive in unstructured problem spaces

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

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)

Lunch and dinner for in-office employees

Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays

401k with a 4% match

Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore 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.

Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place

Annual travel budget to visit either office

Compensation

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

San Francisco (and other major US cities): $135,000 - $230,000

Singapore: $100,000 - $175,000

Rest of world: $100,000 - $175,000

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