Research Engineer, Synthetic Data

Hud; Singapore; Remote; SGD 128,000 - 224,000; Full time

Benefits offered by this job

Medical/dental/vision benefits (US &SG

Lunch/dinner for in-office employees

Equinox membership

401k

Commuter benefits

Health/wellness stipend (Singapore)

Unlimited tokens for AI tools

Office travel budget

Job summary

HUD is building reliable, fair and open AI data infrastructure with a growing team of researchers, engineers and operators. We seek Research Engineers to turn domain-specific workflows into synthetic training tasks that can scale and improve model capabilities.

Join a team of about 25 people working across San Francisco and Singapore with opportunities for remote candidates who can overlap hours with SF or Singapore time zones.

Qualifications

• Proficiency in Python, Docker, and Linux environments.
• 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.

Responsibilities

• Work with subject-matter experts to create synthetic tasks for training AI agents across 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 they teach and where they fail.
• Develop metrics to quantify and understand synthetic task diversity, realism, learnability, etc.

Skills

Python

Linux environments

Synthetic data knowledge

Research prototyping

Tools

Docker

Job description

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 includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.

• 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

• Other perks including an Equinox membership, 401k, 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 [e-mail] or elsewhere if we missed your application!