About the Role
The role involves integrating deep physics knowledge into AI training processes to enhance model performance on complex scientific tasks.
Responsibilities
- Develop training datasets grounded in physical principles for machine learning systems
- Evaluate AI-generated solutions to physics problems for technical correctness
- Collaborate with engineers to refine model outputs based on domain accuracy
- Identify gaps in AI understanding of mechanics, thermodynamics, and electromagnetism
- Translate advanced physics concepts into structured training examples
- Validate simulations and predictions against established physical laws
- Provide feedback to improve AI reasoning in problem-solving scenarios
- Assist in designing assessment metrics for physics-related AI tasks
- Support the creation of benchmark challenges in scientific domains
- Ensure training content reflects real-world physics applications
- Review model behavior under edge cases involving physical systems
- Contribute to iterative improvements based on performance analysis
- Maintain consistency with accepted scientific frameworks across training data
- Work with technical teams to align AI responses with textbook accuracy
- Help prioritize physics topics for model training based on complexity and relevance
Nice to Have
- PhD in physics or applied sciences
- Research experience in theoretical or experimental physics
- Prior work with educational technology or AI training systems
- Multilingual ability including German language proficiency
- Familiarity with physics curriculum standards in European institutions
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexibility for remote collaboration
Team
Collaborative team of AI specialists and domain experts
Location
Position based in Germany with options for remote collaboration
Application Process
- Candidates must submit a resume and a brief statement of interest
- Shortlisted applicants will complete a technical assessment in physics reasoning
Available for qualified candidates
