Research Engineer, Synthetic Data (Singapore Time)
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Work with our Clients · APAC
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities.
This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains.
- Design syn