Applied Scientist / Research Engineer, Data Quality & Evaluation

Job overview

The Applied Scientist / Research Engineer, Data Quality & Evaluation role is listed as onsite in Santa Clara, CA; compensation is not specified. The role focuses on improving training data quality and evaluation systems used to develop advanced AI models. The scientist or engineer investigates how data and evaluation choices affect model performance, then turns findings into practical methods, experiments, and tools. This work helps research, engineering, and data operations teams improve model training and evaluation at scale.

What you'll do

• Develop training-data curation, quality-scoring, dataset-selection, and data-mixing methods
• design evaluation frameworks and benchmarks
• analyze model failures and data effects on behavior and generalization
• apply active learning and human-in-the-loop evaluation
• build automated data-quality tools and pipelines
• run experiments measuring performance effects
• collaborate with research, engineering, and data operations teams.

What we're looking for

Skills & competencies

applied scientist

research engineer

data quality

model evaluation

maxinsights

santa clara ca

full-time

applied machine learning

python

training data curation

benchmark development

active learning

human-in-the-loop evaluation

Work arrangement

• Weekend coverage required

Benefits & perks

• Health insurance
• vision care
• dental coverage
• 401(k)
• paid holidays
• paid time off
• sick leave.

Why this role

The posting seeks applied ML research, data science, AI evaluation, or related experience; strong Python skills; and experience developing technical solutions, research methods, or automated pipelines. Research publications or applied research contributions are a plus.

About the employer

Maxinsights is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.