Physics Expert

**Job Title:** Physics Expert **Job Type:** Contractor **Location:** Remote **Rate:** 20$-50$ per task **Job Summary:** In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. **Key Responsibilities:** 1. Thoroughly analyze, interpret, and summarize complex physics documents and research papers. 2. Create and review high-quality questions and problems related to diverse physics topics for AI model training. 3. Extract key data, perform detailed computations, and validate analytical solutions in various physics domains. 4. Deliver clear, concise written explanations and rationales for technical problems and solutions. 5. Collaborate with a multidisciplinary remote team while maintaining independence in daily work. 6. Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed. 7. Maintain a high standard of quality and consistency while meeting ongoing deadlines. **Required Skills and Qualifications:** 1. 2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting. 2. Exceptional written and verbal English communication skills, with strong attention to detail. 3. Proven ability to read, analyze, and synthesize technical documents and research literature. 4. Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises. 5. Ability to work independently and proactively with minimal supervision in a remote setting. 6. Excellent critical thinking and analytical skills for data evaluation and problem solving. 7. Strong time management abilities to handle multiple tasks efficiently. **Preferred Qualifications:** 1. Advanced degree (MSc, PhD) in Physics or a related discipline. 2. Experience interfacing with AI, EdTech, or digital content creation projects. 3. Familiarity with interdisciplinary scientific analysis and collaborative workflows.