AI Legal Tech Trainer in Melbourne

AI Legal Tech Trainer in Melbourne

Melbourne Full-Time 49500 - 60500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead onboarding and training for AI-powered legal software, tailoring programs to client needs.
  • Company: Join Thomson Reuters, a leader in innovative legal tech solutions.
  • Benefits: Enjoy hybrid work options, competitive salary, and growth opportunities.
  • Other info: Dynamic role with opportunities for professional development and strong team collaboration.
  • Why this job: Make a real impact by helping customers succeed with cutting-edge AI technology.
  • Qualifications: Experience in training or customer success, with a passion for AI technologies.

The predicted salary is between 49500 - 60500 $ per year.

Thomson Reuters is seeking an AI Product Trainer in ANZ to lead onboarding and training for our AI-powered legal software.

You’ll collaborate with sales and product teams to tailor programs to client needs, build strong customer relationships, and help customers realize value from our solutions.

The role emphasizes learning and applying new AI-enabled technologies, with a focus on supporting customers and driving satisfaction.

Hybrid work options and growth opportunities are available.

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AI Legal Tech Trainer in Melbourne employer: Thomson Reuters

Thomson Reuters is an exceptional employer, offering a dynamic work culture that prioritises flexibility and work-life balance through its hybrid work model and supportive policies. Employees benefit from comprehensive career development programs, competitive benefits, and the opportunity to make a meaningful impact in the legal field while working with cutting-edge AI technologies. With a strong commitment to inclusion and social responsibility, Thomson Reuters empowers its team to grow professionally and contribute to a greater purpose.

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Contact Details:

Thomson Reuters Recruitment Team

We think you need these skills to ace AI Legal Tech Trainer in Melbourne

AI Product Training
Customer Onboarding
Customer Relationship Management
Tailoring Training Programs
Collaboration with Sales Teams
Collaboration with Product Teams
Understanding of AI Technologies