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 ...
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 ...
Tata Consultancy Services is seeking a Synthetic Data Transformation leader to build and lead a synthetic data sub-function within their quality engineering organization. The role involves designing ...
Tata Consultancy Services is seeking a Synthetic Data Transformation leader to build and lead a synthetic data sub-function within their quality engineering organization. The role involves designing ...
Tata Consultancy Services is looking for a Synthetic Data Transformation leader to build and design synthetic data capabilities within their quality engineering organization. The role involves ...
Tata Consultancy Services is looking for a Synthetic Data Transformation leader to build and design synthetic data capabilities within their quality engineering organization. The role involves ...
Synthetic Data Engineer (AI Data/Training)
Seattle, WA · On-site
$130K - $156K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Engineer (AI Data/Training)
Seattle, WA · On-site
$130K - $156K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Engineer (AI Data/Training)
San Francisco, CA · On-site
$134K - $162K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Engineer (AI Data/Training)
San Francisco, CA · On-site
$134K - $162K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Engineer (AI Data/Training)
Boston, MA · On-site
$124K - $149K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Engineer (AI Data/Training)
Boston, MA · On-site
$124K - $149K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Engineer (AI Data/Training)
San Francisco, CA · On-site
$134K - $162K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Engineer (AI Data/Training)
San Francisco, CA · On-site
$134K - $162K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Transformation leader
Chicago, IL · On-site
$130K - $150K/yr
Must Have Technical/Functional Skills • Strong background in synthetic data, data engineering, simulation, or healthcare data environments. • Ability to translate quality goals into practical ...
Synthetic Data Transformation leader
Chicago, IL · On-site
$130K - $150K/yr
Must Have Technical/Functional Skills • Strong background in synthetic data, data engineering, simulation, or healthcare data environments. • Ability to translate quality goals into practical ...
Synthetic Data Engineer (AI Data/Training)
Seattle, WA · On-site
$130K - $156K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Synthetic Data Engineer (AI Data/Training)
Seattle, WA · On-site
$130K - $156K/yr
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data ...
Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...
Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...
Sr Machine Learning Engineer - Synthetic Data & Document Understanding
Austin, TX · On-site
$113K - $136K/yr
Job#: 3036756 Sr Machine Learning Engineer - Synthetic Data & Document Understanding Location: Austin, Texas (Onsite) Role Overview We are seeking a Senior Machine Learning Engineer for Synthetic ...
Sr Machine Learning Engineer - Synthetic Data & Document Understanding
Austin, TX · On-site
$113K - $136K/yr
Job#: 3036756 Sr Machine Learning Engineer - Synthetic Data & Document Understanding Location: Austin, Texas (Onsite) Role Overview We are seeking a Senior Machine Learning Engineer for Synthetic ...
Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...
Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...
Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...
Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...
Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...
Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
We are looking for a hardworking, dedicated, and results-oriented Synthetic Data Engineer. You would join a team using simulation to generate synthetic data. Apple is where individual imaginations ...
We are looking for a hardworking, dedicated, and results-oriented Synthetic Data Engineer. You would join a team using simulation to generate synthetic data. Apple is where individual imaginations ...
Member of Engineering (Synthetic Data Research)
$117K - $140K/yr
This role particularly focuses on generating synthetic data at scale and determining the best strategies to leverage such data into training large models. You'll closely collaborate with other teams ...
Member of Engineering (Synthetic Data Research)
$117K - $140K/yr
This role particularly focuses on generating synthetic data at scale and determining the best strategies to leverage such data into training large models. You'll closely collaborate with other teams ...
Synthetic Data information
What is the highest paying data job?
What are the key skills and qualifications needed to thrive as a Synthetic Data Engineer, and why are they important?
What is the difference between Synthetic Data vs Data Analyst?
| Aspect | Synthetic Data | Data Analyst |
|---|---|---|
| Credentials | None required, but knowledge of data generation tools helpful | Bachelor's degree in data science, statistics, or related field |
| Work Environment | Data labs, software development teams, AI/ML projects | Business environments, analytics teams, reporting platforms |
| Industry Usage | AI training, testing, privacy compliance | Data interpretation, reporting, decision support |
While Synthetic Data involves creating artificial datasets for testing and training AI models, Data Analysts focus on interpreting real-world data to generate insights. Both roles require data literacy, but Synthetic Data specialists focus on data generation techniques, whereas Data Analysts analyze existing data to inform business decisions.
What are the main challenges faced by professionals working with synthetic data in a production environment?
Which 3 jobs will survive AI?
What is an example of synthetic data?
What is the salary of a synthetic data engineer?
What is synthetic data and how is it used?

Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 12 days ago
Job description
HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We've raised $16M from top VCs and were YC W25.
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.
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: ~15 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 high revenue growth. We're scaling profitably and quickly to meet very strong demand.
- Employment: Full-time.
- Location: On-site only, for now. You can join the team in the San Francisco Bay Area or Singapore offices.
- 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.
- Competitive compensation
- 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
- Lunch and dinner when you're in the office
- 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)
- 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.
Due to high volume, we may not actively respond to every application, but feel free to contact us at recruiting@hud.so or elsewhere if we missed your application!