Physics Tutor

**1. Role Overview** Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in physics. This **full-time opportunity** invites experts in the field to help train and refine AI systems capable of understanding and reasoning through complex physics concepts. As an **AI Tutor – Physics Specialist**, you will provide high-quality annotations, analyses, and data inputs across multiple physics domains to enhance AI model accuracy and scientific depth. You will collaborate closely with technical teams to develop and refine annotation tools, select challenging problems across advanced physics disciplines, and contribute to the design of innovative data systems. The ideal candidate will combine strong subject-matter expertise with adaptability and a deep curiosity for advancing technology at the frontier of AI and physics. **2. Key Responsibilities** - Use proprietary software to label, annotate, and evaluate physics-related data - Provide expert solutions and insights across subfields such as condensed matter, quantum mechanics, and computational physics - Collaborate with technical teams to develop new AI training tasks and improve data workflows - Refine and enhance annotation tools for efficiency and accuracy - Analyze complex physical problems and provide structured, data-driven feedback to improve AI reasoning - Adapt to evolving task instructions while maintaining precision and consistency **3. Ideal Qualifications** - Master’s degree or PhD in Physics or a closely related field - Expertise in one or more areas such as condensed matter physics, high energy physics, nuclear physics, quantum computing, computational physics, or biophysics - Strong ability to read and write in both professional and informal English - Skilled in navigating academic databases, research tools, and technical resources - Excellent analytical, problem-solving, and organizational abilities - Capable of independent judgment and decision-making with limited information - Deep enthusiasm for innovation and scientific advancement **4. Preferred Background** - Multiple publications or patents demonstrating advanced expertise in physics, preferably with first-author papers in peer-reviewed journals - Teaching or tutoring experience at the university or professional level - Prior experience in AI training, technical writing, or data annotation - Demonstrated ability to communicate complex scientific ideas clearly **5. Work Environment** - Based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-management skills - U.S.-based applicants must reside outside of Wyoming and Illinois - Typical hours: 9:00am–5:30pm PST during training, then aligned with your local timezone - Remote workers must use a personal computer that meets one of the following requirements: a Chromebook, a Mac running macOS 11 or newer, or a Windows PC running Windows 10 or newer - Reliable smartphone access is required **6. Compensation & Benefits** - Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location - For international candidates, compensation ranges are available upon request - Access to medical benefits, subject to your country of residence - Supportive, high-impact environment focused on advancing AI and scientific innovation **8. Application Process** - Submit your resume - Complete a 20-minute introductory interview - Selected candidates will move on to a focused physics data evaluation exercise - Finalists will participate in a team discussion and review of their expertise - The full process typically concludes within one week **9. About Mercor** Mercor is based in San Francisco, CA and specializes in recruiting experts for top AI labs. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.