AI Enablement & Claude Adoption Intern

Refinitiv

Ciudad de México

Híbrido

MXN 167.000 - 257.000

Jornada completa

Hace 7 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid Work Model
Flexibility & Work-Life Balance
Headspace app access
Two company-wide Mental Health Days
Tuition reimbursement
Employee incentive programs
Social Impact Institute
Volunteer days off

Descripción de la vacante

Thomson Reuters invites you to join our AI enablement program in Mexico City, where you will help deliver hands-on AI workshops and office hours, and support colleagues exploring Claude AI capabilities. You will craft training materials and practical examples for both technical and non-technical audiences.

The role emphasizes proactive improvement, collaboration with leadership, and participation in intern networking initiatives, with hybrid work arrangements to support learning and growth.

Formación

  • Apply academic knowledge to real business problems and connect AI concepts to Thomson Reuters teams.
  • Be proactive in identifying gaps in training materials or user understanding.
  • Volunteer for stretch assignments to expand AI enablement reach.

Responsabilidades

  • Support training delivery during AI enablement workshops and office hours.
  • Develop training content, slide decks, templates, and case studies.
  • Support Claude AI adoption and document common use cases and how-to guides.
  • Foster intern networking and represent the training program in team meetings.
  • Organize training recordings, FAQ resources, and training asset inventories.

Descripción del empleo

Thomson Reuters invites you to join our AI enablement program in Mexico City, where you will help deliver hands-on AI workshops and office hours, and support colleagues exploring Claude AI capabilities. You will craft training materials and practical examples for both technical and non-technical audiences.

The role emphasizes proactive improvement, collaboration with leadership, and participation in intern networking initiatives, with hybrid work arrangements to support learning and growth.

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