Chemist, PhD

What you’ll do

• Data annotation: Accurately label and categorize advanced chemistry questions, specialized concepts, scientific diagrams, experimental data, and other domain-specific content
• Concept mapping: Synthesize and connect complex chemical principles, establishing nuanced relationships between specialized topics (e.g., organic, inorganic, physical, analytical, and theoretical chemistry) to help AI models grasp the depth and structure of the field
• Solution review: Critically analyze and verify AI-generated answers to advanced chemistry questions and research-level problems, identifying errors and providing detailed, constructive feedback to enhance model performance
• Content development: Design and curate comprehensive training datasets that encompass a wide spectrum of chemistry subfields and levels of complexity

About the role

• Flexible workload — work from anywhere, on your own schedule
• High impact — your craft directly improves models used by top AI labs & Fortune 500 teams
• Clear ownership — know exactly what success looks like and have autonomy to deliver
• Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs

Interview process

• Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
• Domain-specific Zara interview to assess your understanding of advanced chemistry principles, your ability to analyze complex processes, and your skill in applying theoretical frameworks to real-world scenarios.

About Labelbox

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.