Chemistry Expert

Remote (United States preferred) Shape the data that powers frontier AI

Labelbox

• Engagement
  - Hourly, at‑will contractor
• Schedule
  - Fully remote & asynchronous (min.
  15hrs/week)
• Pay Range (US) - $25–$100 per hour
• Start Date
  - Rolling — staffed as projects launch

• 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

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

• 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

• 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.

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 Soft Bank, Andreessen Horowitz, BCapital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.