Lead Research Engineer, Data Quality
hud- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to hud. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Lead Research Engineer, Data Quality at HUD responsible for measuring, improving, and scaling the quality of training data for frontier AI agents. This role involves leading a team to build systems for evaluating tasks across RL environments, synthetic data, and benchmarks, and developing methods for validating synthetic data at scale.
Skills and focus areas
- data quality
- python
- docker
- linux
- quality control systems
- evaluation systems
- benchmarking
- synthetic data pipelines
- validation workflows
- failure-mode analysis
- task mutation checks
- trajectory auditing
Summary written by Ramai from the original posting. Full details and requirements are on hud’s careers page.
[ More at hud ]
Platform for building RL environments and evals
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