Physics Expert – AI Trainer (MSc. or PhD Holders) $30-$90/hr

Job Title: Physics Expert – AI Trainer (MSc. or PhD Holders)

Job Type: Contract- Full-time or Part-time

Location: Remote

Job Summary:

For UK-Based Candidates.

Join our customer’s team as a Physics Expert – AI Trainer, where your advanced physics expertise and passion for education will help shape next-generation AI solutions. As part of an innovative remote team, you will design, curate, and validate educational content to train cutting-edge AI models in the field of physics.

Key Responsibilities:

1. Develop and refine high-quality physics content for AI model training, including problem sets, explanations, and conceptual frameworks.
2. Review, assess, and annotate AI-generated outputs to ensure scientific accuracy and pedagogical value.
3. Collaborate with interdisciplinary teams to improve AI understanding of complex physics concepts.
4. Transform complex theories into accessible, educational communication for diverse audiences.
5. Apply analytical problem-solving skills to evaluate and enhance the performance of AI-driven educational tools.
6. Contribute to the creation of guidelines and documentation that standardize AI training in physics.
7. Stay up to date with advancements in both AI and physical sciences to inform training processes.

Required Skills and Qualifications:

1. MSc. or PhD in Physics or a closely related scientific discipline.
2. Proven expertise in analytical problem solving within physics contexts.
3. Exceptional written and verbal communication abilities, with strong attention to detail and clarity.
4. Experience in developing educational content or teaching physics at a collegiate level.
5. Ability to translate intricate physical concepts into clear, high-impact training materials.
6. Comfort working in a fast-paced, innovative, and fully remote environment.
7. Demonstrated commitment to accuracy and quality in educational or technical documentation.

Preferred Qualifications:

1. Prior experience working with AI models, training datasets, or educational technology platforms.
2. Background in curriculum development or instructional design for STEM subjects.
3. Familiarity with programming languages or computational physics applications.