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Applied Scientist / Research Engineer — Data Quality & Evaluation

MaxInsights • Santa Clara, CA, US • published 2026-10-10 09:03:13.208277

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Description

### **Job Description:** **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. * Design evaluation frameworks and benchmarks to measure model capabilities and identify performance gaps. * Analyze model failures to understand how training data affects model behavior and generalization. * Apply techniques such as active learning and human\-in\-the\-loop evaluation to improve data efficiency and annotation qua...


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