Material Science Expert (Masters/PhDs)
Labelbox
About this role
The Material Science Expert at Alignerr supports the development and training of advanced AI models by providing deep domain expertise in materials science. The role focuses on creating and validating complex, real-world material science problems to improve AI reasoning. It involves close collaboration with AI researchers and domain specialists while maintaining high standards of scientific rigor and clarity.
Skills
Qualifications
About Labelbox
labelbox.comLabelbox is a data labeling and data‑ops platform that helps AI teams "build, operate, and staff" scalable data factories for training machine learning models. It combines a web annotation suite (images, video, LiDAR, and text), workflow and quality controls, data management and metadata tools, plus APIs and integrations to fit into ML pipelines. Alongside the software, Labelbox provides managed labeling services and workforce solutions to scale annotation and maintain label quality. Enterprises use it to accelerate model development, improve label consistency and governance, and operationalize high‑volume labeled data.
Recent company news
Labelbox acquires agentic sales automation startup, Upcraft, to rapidly scale the human expertise powering frontier AI
3 weeks ago
AI’s Unsung Hero: Data Labeling and Expert Evals
Jun 27, 2025
AI training companies are raising billions to get humans to teach chatbots. Here are the startups cashing in.
Sep 25, 2025
Scale AI Rivals See Customer Demand Surge After Meta Investment
Jun 18, 2025
Top 10: Data Labelling Tools
Sep 17, 2025
About Labelbox
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for Labelbox.
Salary
$150k – $180k
per year
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