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Remote Scheduler

Posted 2 days ago
Customer Service
Freelance
USA

Overview

DataForce by TransPerfect is seeking a Remote Scheduler to join our team for a new data collection project for several locations within the United States. This is an exciting opportunity to be part of an innovative project to improve Artificial Intelligence technology.

In Short

  • Manage and coordinate participant scheduling for study appointments.
  • Handle phone calls, emails, and inquiries with professionalism.
  • Perform general administrative duties including data entry and filing.
  • Liaise with onsite study staff for smooth participant flow.
  • Uphold confidentiality and ethical standards of the study.
  • Answer questions participants may have.
  • Provide logistic information and reminders to participants.
  • Communicate schedule changes to participants.
  • Act as liaison between participants and Project Manager.
  • Resolve scheduling conflicts as they occur.

Requirements

  • Proficiency in Microsoft Office.
  • Advanced proficiency in Google Sheets.
  • Professional fluency in English.
  • Located in Pacific time zone.
  • Quiet, distraction-free work environment.
  • Outstanding customer service and communication skills.
  • Strong project management and prioritization skills.
  • Self-motivated, quick learner, and organized.
  • Must be detail-oriented and discreet with confidential information.
  • Able to work a flexible schedule as needed.

Benefits

  • Opportunity to work on innovative AI projects.
  • Flexible working hours.
  • Remote work environment.
  • Gain experience in data collection and scheduling.
  • Join a reputable company in the language and technology solutions sector.
TransPerfect logo

TransPerfect

TransPerfect is the world’s largest provider of language and technology solutions for global business, with a presence in over 100 cities worldwide. The company offers high-quality data for Human-Machine Interaction, catering to some of the most prestigious technology companies. Their DataForce division specializes in gathering, enriching, and processing data for Machine Learning across various AI domains, ensuring the development of advanced machine learning systems such as neural networks and generative models.

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