Remote Data Jobs · Canada

Job listings

  • Leading the development of advanced AI and machine learning models.
  • Working closely with data scientists and engineers to deploy AI solutions.
  • Analyzing datasets to identify patterns and trends for AI development.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

  • Develop, solve, and review advanced mathematical problems with real-world relevance.
  • Apply expertise in algebra, calculus, statistics, discrete mathematics, or related areas to design complex problem statements.
  • Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.

Alignerr partners with leading AI research teams and labs to build and train cutting-edge AI models. The job posting does not provide company size or culture information.

$272,000–$368,000/yr

  • Define and execute a modern analytics strategy aligned to company objectives.
  • Partner with senior leaders to inform analytics priorities and influence executive decisions.
  • Develop and lead a high-performing analytics organization focused on excellence and collaboration.

At 1Password, they’re building the foundation for a safe, productive digital future by ensuring every identity is authentic and every application sign-in is secure.

$1,800,000–$200,000/yr

  • Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
  • Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis).
  • Define and evolve standards for storage, compute, data management, provenance, and orchestration.

Inspiren offers the most complete and connected ecosystem in senior living.

  • Lead the development, implementation, and ongoing improvement of predictive models.
  • Continuously improve decision-making for every individual user.
  • Collaborate closely with internal Engineering and business stakeholders to turn messy, real-world data into clear insights and working models.

Trellis is reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy.