E-Learning Specialist (Client-Facing | SaaS Platform | Remote)

3 weeks, 6 days ago
Full-time
Junior
Customer and Technical Support
Smart Apartment Data

Smart Apartment Data

Smart Apartment Data is the trusted nationwide provider of accurate multifamily data and analytics, offering actionable insights for professionals in the apartment industry.

Professional Services
11-50
Founded 2005

Description

  • Deliver structured training sessions to U.S.-based clients via Zoom.
  • Guide users through product workflows during live virtual sessions.
  • Help clients understand how to apply what they learn in their day-to-day work.
  • Present complex topics clearly and maintain a professional tone for client-facing training.
  • Support learners by facilitating engaging, structured sessions for professional audiences.

Requirements

  • 1+ years of experience delivering training, onboarding, or educational sessions in a software, SaaS, or professional learning environment.
  • Strong English proficiency (C1+) with a professional tone suitable for presenting to U.S.-based clients.
  • Experience facilitating structured training sessions for professional or adult audiences.
  • Comfort leading live virtual sessions and explaining complex topics clearly.
  • Reliable internet connection and a professional remote work setup.
  • Backgrounds in customer success, enablement, corporate learning, education, or EdTech are encouraged.
  • Experience working in professional or corporate environments is preferred.
  • Experience teaching adults or working with client-facing audiences is preferred.
  • Support-only roles with no training experience are not a fit.
  • Low English proficiency is not a fit.

Benefits

  • 100% remote, location-independent work.
  • Compensation of $1,800–$2,000 per month based on relevant experience and qualifications.
  • Opportunity for professional growth and development.
  • Collaborative and creative work environment.

Interested in this position?

Apply directly on the company website

Apply Now

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