About the Role
The role involves applying deep physics knowledge to guide AI training processes, ensuring models generate factually correct and contextually appropriate responses in scientific domains.
Responsibilities
- Evaluate AI-generated responses for scientific accuracy in physics
- Provide detailed feedback to improve model understanding of physical concepts
- Collaborate with technical teams to refine training datasets
- Identify common misconceptions in AI outputs related to physics principles
- Help develop structured prompts that elicit precise scientific reasoning
- Review model behavior across different levels of complexity in physics problems
- Contribute to the creation of benchmark tests for physics knowledge
- Ensure explanations align with established scientific theories and evidence
- Flag inconsistencies or inaccuracies in derivations and calculations
- Support iterative improvements through regular performance assessments
- Maintain clarity and precision when communicating technical feedback
- Stay current with developments in physics education and research
- Assist in categorizing physics topics by difficulty and subdomain
- Verify dimensional consistency and unit usage in quantitative answers
- Help distinguish between classical and modern physics interpretations
- Ensure problem-solving approaches follow logical scientific methodology
- Review visual descriptions involving physical systems or phenomena
- Check for proper application of conservation laws and symmetry principles
- Evaluate reasoning steps in solutions involving forces, energy, and motion
- Support quality assurance for simulations involving physical dynamics
- Contribute to guidelines for handling ambiguous or incomplete physics queries
- Assist in identifying edge cases where AI may produce incorrect extrapolations
- Promote consistency in terminology across training materials
- Help align training content with standard academic curricula
- Participate in calibration sessions to maintain evaluation consistency
Compensation
Competitive salary based on experience
Work Arrangement
Remote within Poland
Team
Collaborative team focused on advancing AI systems through domain-specific expertise
Application Process
Interested candidates should submit a resume and a brief statement of interest highlighting their physics background and experience with technical communication.
Project Duration
Initial engagement is expected to last several months, with potential for extension based on project needs and performance.
Not available
