Chemistry Expert

Engagement: Hourly, at-will contractor

Schedule: Fully remote & asynchronous (minimum 15 hours per week)

Pay Range (US): $25 – $100 per hour

Start Date: Rolling — staffed as projects launch

Responsibilities

• Data annotation: Accurately label and categorize chemistry questions, concepts, diagrams, experiments, and other relevant data
• Concept mapping: Connect key chemical principles and establish relationships between different topics (e.g., organic, inorganic, physical, and analytical chemistry) to help AI models understand the structure of the subject
• Solution review: Analyze and verify AI-generated answers to chemistry questions or problems, identifying errors and providing clear feedback to improve model performance
• Content development: Help build comprehensive training datasets that cover a wide range of chemistry topics and difficulty levels

Requirements

• Deep expertise in chemistry (research, teaching, or advanced problem-solving)
• Experience building or reviewing complex scientific, educational, or technical content (e.g., laboratory research, curriculum development, scientific publications, or similar)
• Ability to communicate challenging chemistry concepts clearly and enjoy translating theory into real-world applications
• Bonus: Experience with data labeling, RLHF, or other AI training projects

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 fundamental 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.