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Thomson Reuters

Legal, financial data, and media services

AI Product Trainer

Customer Education & TrainingConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A law degree is mandatory.
  • An interest in legal technology, or willingness to quickly learn the legal technology landscape, is required.
  • A strong interest in learning and applying new technologies, software, and AI-enabled solutions is required.
  • Interpersonal skills and a commitment to supporting customers and solving problems are required.
  • Willingness to collaborate with colleagues across teams and contribute to projects and initiatives is required.

Responsibilities

  • Support onboarding and customer training sessions alongside senior trainers, tailoring programs to specific client needs.
  • Participate in regular customer check-ins, learn about customer goals, and identify opportunities for further training.
  • Support customers with research queries and demonstrate how to get the most value from products and services.
  • Share customer feedback with Sales, Product Development, and Commercial teams and contribute ideas for continuous improvement.
  • Contribute to initiatives that improve customer satisfaction, strengthen engagement, and support customer retention.

Desired Qualifications

  • Experience presenting, teaching, or engaging with people in a professional setting is a plus but is not required.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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