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Trainee Ai Math Training Jobs in Texas (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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Trainee Ai Math Training information

What is the difference between Trainee Ai Math Training vs Data Analyst?

AspectTrainee Ai Math TrainingData Analyst
Required CredentialsBasic math, programming fundamentals, training program completionBachelor's in Math, Statistics, or related field; sometimes certifications
Work EnvironmentTraining programs, workshops, entry-level projectsOffice setting, data analysis teams, project-based
Industry UsageEntry-level AI and machine learning developmentData-driven decision making across industries

While Trainee Ai Math Training focuses on foundational skills and entry-level AI-related training, Data Analysts apply these skills to interpret data and support business decisions. Trainee programs prepare individuals for roles like Data Analyst, but the roles differ in experience level and scope.

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The most popular types of Ai Math Training jobs in Texas are:

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For Trainee Ai Math Training jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Trainee Ai Math Training jobs in Texas are:

What cities in Texas are hiring for Trainee Ai Math Training jobs?

Cities in Texas with the most Trainee Ai Math Training job openings:

AI Training Specialist - Physics

micro1 AI

Austin, TX • On-site, Remote

$80 - $150/hr

Part-time

Posted 17 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.