Research Engineer, Synthetic Data

The role

Research Engineers will build a synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks to teach useful behavior and expand model capabilities.

What you will do

• Work with subject-matter experts to create synthetic tasks for training AI agents
• 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
• Develop metrics to quantify and understand synthetic task diversity, realism, and learnability

Required qualifications

• Proficiency in Python, Docker, and Linux environments
• Experience with synthetic data research methods
• 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

Nice to have

• 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

Benefits

• 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
• Equinox membership and commuter benefits (US employees)
• Health/wellness stipend (Singapore employees)
• Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
• Annual travel budget to visit either office

Before you apply

• The process is 2 technical interviews and a 2-3 day work trial
• We provide support for relocation and visas for strong full-time candidates to the US or Singapore

About the company

HUD's mission is to build reliable, fair and open infrastructure for AI data. Their marketplace and platform are used by startups, Fortune 500 companies and frontier labs.