
2 - 10 employees
🤝 B2B
💼 Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
🔥 0 minutes ago
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2 - 10 employees
🤝 B2B
💼 Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
• Author original multiple-choice physics questions testing deep physical understanding • Develop challenging problems across advanced physics domains • Ensure questions are self-contained, precise, unambiguous, and independently solvable • Design questions for undergraduate, advanced undergraduate, and postgraduate difficulty levels • Produce one correct answer and nine plausible distractors • Review pre-written physics questions for correctness, clarity, rigour, and completeness • Identify conceptual errors, hidden assumptions, mathematical mistakes, and solvability issues • Edit questions and answer choices where required • Verify calculations, derivations, physical reasoning, and designated correct answers • Document substantive changes and explain the scientific reasoning behind them • Develop assessment content in semiconductor physics, nanoelectronics, spintronics, quantum technologies, photonics, quantum optics, ultrafast physics, plasma physics, fusion energy, nonlinear dynamics, turbulence, geophysics, and reservoir simulation • Provide 1–5 academic references per question where required • Develop structured solution explanations supporting correct answers • Rate question difficulty according to Medium, Hard, and Expert standards • Help maintain consistent scientific and academic quality across benchmark content • Contribute to evaluation materials for advanced AI systems
• PhD or current doctoral candidacy in Physics, Applied Physics, Astrophysics, or a closely related discipline • Master's degree may be considered for candidates with exceptional expertise in a relevant physics subdomain • Strong command of graduate-level physics and mathematical formalism • Expertise in one or more of semiconductor physics, nanoelectronics, spintronics, photonics, quantum optics, ultrafast physics, quantum sensing, plasma physics, fusion energy, nonlinear dynamics, turbulence, geophysics, or reservoir simulation • Strong ability to construct and verify rigorous quantitative and conceptual physics problems • Excellent written English and ability to communicate complex physical concepts clearly and precisely • Academic research publications are highly valued • Experience with experimental, theoretical, or computational physics research is advantageous • Experience with physics olympiad writing, examination development, or advanced problem design is highly valued • Strong attention to mathematical precision, physical consistency, and problem solvability • At least 10 hours of availability per week • Must work without using confidential or proprietary information belonging to any employer, client, institution, or other third party • H1-B and STEM OPT support is unavailable for this engagement
• Flexible scheduling based on project requirements • Fully remote and asynchronous work • Part-time independent contractor engagement • Expected availability of at least 10 hours per week • Opportunity to contribute to gold-standard evaluation materials used to assess advanced AI capabilities • Projects may be extended, shortened, or concluded based on project needs and performance
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