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Ai Math Trainer Jobs in Quebec (NOW HIRING)

Ship production-ready solutions: training, deployment, monitoring, and ongoing refinement. * Run ... Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or ...

... complex AI safety problems. * Collaborate with mathematicians and other specialized research ... Proven experience in the training, adaptation, and/or fine-tuning of frontier models across a ...

Actuarial Analyst

Montreal, QC ยท Hybrid

CA$52K - CA$87K/yr

Performs actuary-related duties of a mathematical nature. Compiles and categorizes data for ... We use data and analytics technologies, such as artificial intelligence (AI), and automated ...

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Ai Math Trainer information

What is an AI Math Trainer?

An AI Math Trainer is responsible for developing, curating, and refining mathematical problems and solutions to train AI models. They ensure that AI systems understand and generate accurate mathematical reasoning by reviewing datasets, annotating problems, and validating AI-generated responses. This role requires strong math skills, attention to detail, and the ability to work with AI development teams. AI Math Trainers help improve AI's ability to handle mathematical concepts across various difficulty levels.

What are the typical daily responsibilities of an AI Math Trainer?

As an AI Math Trainer, your typical day involves curating and creating high-quality mathematical content, annotating datasets, and designing training materials to enhance the performance of mathematical AI models. You may collaborate closely with data scientists, AI engineers, and product teams to identify gaps in AI understanding and tailor your training resources accordingly. Reviewing model outputs for accuracy and providing detailed feedback are also important aspects of the role. This position offers a dynamic work environment that blends technical expertise with educational oversight, allowing you to directly impact the development and improvement of advanced AI solutions.

What are the key skills and qualifications needed to thrive as an AI Math Trainer?

To thrive as an AI Math Trainer, you need a strong background in mathematics, machine learning, and data analysis, usually supported by a degree in mathematics, computer science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), scripting languages (like Python), and experience with data labeling or annotation platforms is highly valuable. Excellent communication, attention to detail, and problem-solving abilities are important soft skills for this role. These skills ensure that complex mathematical concepts are accurately translated and effectively used to train AI models, leading to high-quality, reliable AI systems.

What are popular job titles related to Ai Math Trainer jobs in Quebec?

For Ai Math Trainer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Ai Math Trainer jobs in Quebec look for?

The top searched job categories for Ai Math Trainer jobs in Quebec are:

Infographic showing various Ai Math Trainer job openings in Quebec as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Talent Pool - AI Safety Research & Governance

Montreal, QC โ€ข On-site

Full-time

Re-posted 28 days ago


Job description

ENGLISH VERSION BELOW

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Nous collaborons avec des instituts de recherche de pointe et des organisations visionnaires dediees au developpement d'une intelligence artificielle securitaire, benefique et controlable (AI Frontier Lab, Deeptech, Centres de recherche et consortiums au Canada et en Europe).
Ces organisations ne cherchent pas seulement a rendre l'IA plus puissante ; elles travaillent a attenuer ses risques et a s'assurer que les modeles de fondation demeurent robustes, interpretables et alignes avec le bien commun.

Pour repondre aux besoins de croissance de ces pionniers de l'ecosysteme IA, nous batissons un bassin de talents exclusif regroupant des experts en recherche fondamentale, en inference probabiliste et en ingenierie de pointe.

Domaines d'expertise recherches - Nous sommes continuellement a la recherche de profils d'exception dans les specialites suivantes :

  • Securite et Alignement de l'IA (AI Safety) : Interpretabilite mecanistique, robustesse des modeles, evaluation des risques et alignement des LLMs.
  • Inference Probabiliste : Quantification de l'incertitude, reseaux bayesiens, apprentissage causal et modelisation statistique avancee.
  • Recherche en Apprentissage Profond (Deep Learning) : NLP, modeles de fondation, architectures theoriques et apprentissage par renforcement.
  • Apprentissage Automatique Distribue : Passage a l'echelle (scaling), optimisation de l'entrainement sur clusters GPU et calcul haute performance.
  • Gouvernance de l'IA : connaissance des cadres de gouvernance (AI Act europeen, NIST AI RMF, etc.)

Votre profil

  • Vous detenez un Doctorat (PhD) ou une Maitrise avec forte composante recherche en informatique, mathematiques, statistiques ou dans un domaine connexe.
  • Vous avez publie ou contribue a des recherches presentees dans des conferences de niveau Tier-1 (NeurIPS, ICML, ICLR, AISTATS, ACL, etc.).
  • Vous possedez une base mathematique rigoureuse et une maitrise des environnements de recherche (Python, PyTorch, Tensorflow, JAX).
  • Vous etes profondement motive.e par les enjeux d'ethique, de securite et d'impact societal lies au deploiement de l'intelligence artificielle.

Pourquoi rejoindre ce bassin ?En soumettant votre candidature ici, vous nous permettez de vous considerer en priorite pour les postes (ouverts et confidentiels) chez nos partenaires axes sur la recherche fondamentale et la securite de l'IA. Nous vous contacterons directement lorsqu'une opportunite correspondra a vos travaux et a vos ambitions scientifiques.

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We collaborate with cutting-edge research institutes and visionary organizations dedicated to developing safe, beneficial, and controllable artificial intelligence (AI Frontier Labs, Deeptechs, Research Centers, and consortiums in Canada and Europe).

These organizations are not just looking to make AI more powerful; they are working to mitigate its risks and ensure that foundation models remain robust, interpretable, and aligned with the common good.

To support the growth of these pioneers in the AI ecosystem, we are building an exclusive talent pool of experts in fundamental research, probabilistic inference, and cutting-edge engineering.

Areas of expertise sought - We are continuously seeking exceptional profiles in the following specialties:

  • AI Safety & Alignment: Mechanistic interpretability, model robustness, risk evaluation, and LLM alignment.
  • Probabilistic Inference: Uncertainty quantification, Bayesian networks, causal learning, and advanced statistical modeling.
  • Deep Learning Research: NLP, foundation models, theoretical architectures, and reinforcement learning.
  • Distributed Machine Learning: Scaling, training optimization on GPU clusters, and high-performance computing.
  • AI Governance: Knowledge of governance frameworks (European AI Act, NIST AI RMF, etc.).

Your profile

  • You hold a PhD or a research-focused Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • You have published or contributed to research presented at Tier-1 conferences (NeurIPS, ICML, ICLR, AISTATS, ACL, etc.).
  • You possess a rigorous mathematical foundation and strong proficiency in research environments (Python, PyTorch, TensorFlow, JAX).
  • You are deeply driven by the ethical, safety, and societal impact challenges associated with the deployment of artificial intelligence.

Why join this talent pool?

By submitting your application here, you allow us to consider you as a priority for both open and confidential roles with our partners focused on fundamental research and AI safety. We will contact you directly when an opportunity aligns with your research and scientific ambitions.

Employment Type: FULL_TIME