Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Physics Expert
Job description
Physics Expert (Contract)
Labelbox • Remote (United States preferred) Shape the data that powers frontier AI
Quick facts - Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min. 15 hrs/week)- Pay Range (US) - \$25 – \$100 per hour- Start Date - Rolling — staffed as projects launch
What you’ll do - Data annotation: Accurately label and categorize physics problems, concepts, diagrams, experiments, and other relevant data- Concept mapping: Connect key physics principles and establish relationships between different topics (e.g., mechanics, electromagnetism, thermodynamics) to help AI models grasp the structure of the subject- Solution review: Analyze and verify AI-generated solutions to physics problems, identifying errors and offering clear feedback to improve model performance- Content development: Help create well-rounded training datasets that span a variety of physics topics and difficulty levels
You’re a great fit if - You bring deep expertise in physics (research, teaching, or applied problem-solving)- You’ve built or reviewed complex scientific, educational, or technical content (lab work, curriculum, simulations, or similar)- You communicate challenging physical concepts clearly and enjoy turning theory into real-world understanding- 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 physics 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.
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