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Ai Math Training Jobs in New Mexico (NOW HIRING)

Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms. * Detect errors, unjustified steps, missing assumptions ...

Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms. * Detect errors, unjustified steps, missing assumptions ...

Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms. * Detect errors, unjustified steps, missing assumptions ...

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

... training AI models. You will partner with technical teams to deploy AI solutions in highly ... Mathematics, or a related STEM field 8-10 years of engineering experience * 3+ years of experience ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... math backgrounds. Adapts instruction using practice examinations, memory training exercises, and ...

Have excellent math, computer, and problem-solving skills * Are experienced in general maintenance ... But don't worry, even if you feel you're lacking in experience, our team excels at training ...

Have excellent math, computer, and problem-solving skills * Are experienced in general maintenance ... Even if you feel you're lacking in experience, our team excels at training motivated candidates to ...

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Ai Math Training information

What is an ai math training?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

What are the key skills and qualifications needed to thrive in the ai math training position, and why are they important?

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What are some common challenges faced in an ai math training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

What are popular job titles related to Ai Math Training jobs in New Mexico?

For Ai Math Training jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Ai Math Training jobs in New Mexico look for?

The top searched job categories for Ai Math Training jobs in New Mexico are:

Infographic showing various Ai Math Training job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

AI Training Specialist - Physics

micro1 AI

Albuquerque, NM • On-site, Remote

$80 - $150/hr

Part-time

Posted 20 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.