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Ai Math Training Jobs in Connecticut (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Waterbury, CT · On-site +1

$80 - $150/hr

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

micro1 AI

AI Training Specialist - Physics

Stamford, CT · On-site +1

$80 - $150/hr

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

micro1 AI

AI Training Specialist - Physics

New Haven, CT · On-site +1

$80 - $150/hr

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

micro1 AI

AI Training Specialist - Physics

Hartford, CT · On-site +1

$80 - $150/hr

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

micro1 AI

AI Training Specialist - Physics

Bridgeport, CT · On-site +1

$80 - $150/hr

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

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Develop and maintain data pipelines, model training workflows, and inference services . * Analyze ... Bachelor's or Master's degree in Mathematics, Data Science, Computer Science with Artificial ...

Deloitte

Finance Analytics & AI Manager

Hartford, CT · On-site

Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited ... and training; licensure and certifications; and other business and organizational needs. The ...

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All JobsAi Math Training JobsAi Math Training Jobs in Connecticut

Ai Math Training information

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 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 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 most commonly searched types of Ai Math Training jobs in Connecticut?

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

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

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

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

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

What cities in Connecticut are hiring for Ai Math Training jobs?

Cities in Connecticut with the most Ai Math Training job openings:

Ai Math Training jobs near you
Infographic showing various Ai Math Training job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

AI Training Specialist - Physics

micro1 AI

Waterbury, CT • On-site, Remote

$80 - $150/hr

Part-time

Posted 12 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.

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