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Ai Math Training Jobs in Ontario (NOW HIRING)

ABL Employment

CNC Machine Operator

Newmarket, ON

CA$30/hr

... math skills - Able to work full time on an afternoon shift - Able to work a day shift for 2 weeks ... AI (Artificial Intelligence) tools may be used at certain points of the pre-screening and selection ...

Infoya

CA$100K - CA$110K/yr

... training quantization, pruning, handling custom ops). * GCP MLOps: Strong proficiency in Google Cloud Platform, specifically building and running custom components in Vertex AI Pipelines (KFP)

Nvidia

Solutions Architect, Networking

Toronto, ON · On-site

Collaborating directly with customers to build, deploy, andoptimizelarge-scale AI training and ... Mathematics, otherEngineeringor related fields (or equivalent experience) * 5+ years of Solution ...

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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 job?

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 popular job titles related to Ai Math Training jobs in Ontario? For Ai Math Training jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Ai Math Training jobs in Ontario look for? The top searched job categories for Ai Math Training jobs in Ontario are:
Ai Math Training jobs near you
Infographic showing various Ai Math Training job openings in Ontario as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Remote Physics Expert (PhD / Postdoc)

Remote Physics Expert (PhD / Postdoc)

Micro1

Mississauga, ON • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Physics Expert (PhD / Postdoc) $80 - $140/hourpayRequired SkillsPhysics MasteryWritten Technical CommunicationTechnical Problem-Solving DepthMathematical & Computational FluencyAbout micro1micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. 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

  • Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  • Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  • Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  • Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  • Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  • Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  • Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  • PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  • Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  • 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  • Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  • Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  • Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  • Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

Apply