居家办公 Physics Expert - Remote 工作, 薪水, YO IT CONSULTING 公司招聘中 - Ricebowl

Job Title: Physics Expert

Job Type: Contractor

Location: Remote

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

• Thoroughly analyze, interpret, and summarize complex physics documents and research papers.
• Create and review high-quality questions and problems related to diverse physics topics for AI model training.
• Extract key data, perform detailed computations, and validate analytical solutions in various physics domains.
• Deliver clear, concise written explanations and rationales for technical problems and solutions.
• Collaborate with a multidisciplinary remote team while maintaining independence in daily work.
• Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed.
• Maintain a high standard of quality and consistency while meeting ongoing deadlines.
  
  

Required Skills And Qualifications

• 2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting.
• Exceptional written and verbal English communication skills, with strong attention to detail.
• Proven ability to read, analyze, and synthesize technical documents and research literature.
• Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises.
• Ability to work independently and proactively with minimal supervision in a remote setting.
• Excellent critical thinking and analytical skills for data evaluation and problem solving.
• Strong time management abilities to handle multiple tasks efficiently.
  
  

Preferred Qualifications

• Advanced degree (MSc, PhD) in Physics or a related discipline.
• Experience interfacing with AI, EdTech, or digital content creation projects.
• Familiarity with interdisciplinary scientific analysis and collaborative workflows.