Applied Scientist / Research Engineer — Data Quality & Evaluation
Maxinsights, Santa Clara
About the job
Job description
About Maxinsights
Maxinsights is a pioneer in embodied robotics data solutions. We provide end-to-end data infrastructure, from multimodal data collection and annotation to algorithm-ready dataset delivery, for leading robotics foundation model companies and embodied AI labs worldwide.
Job overview
We are looking for an Applied Scientist/Research Engineer to improve the quality of training data and evaluation systems used to develop advanced AI models.
In this role, you will investigate how data quality, dataset composition, and evaluation methods influence model performance. You will design experiments, develop data curation and scoring methods, analyze model failures, and build tools that help us identify the data most valuable for training and improving AI systems.
This role is ideal for someone with a strong background in applied ML research, data-centric AI, or model evaluation who enjoys turning research insights into practical improvements.
What you will own
- Develop methods for training data curation, quality scoring, dataset selection, and data mixing.