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Technical Writer - US - Remote

Posted 1 week ago
Writing
Freelance
USA

Overview

DataForce by TransPerfect is seeking experienced Technical Writers to support the creation and management of high-quality documentation for complex AI and data-driven projects. In this role, you will collaborate with researchers, developers, and cross-functional teams to produce clear, accurate, and accessible technical content, ensuring effective communication across the data annotation and AI development ecosystem.

In Short

  • Communicate complex technical information clearly and accurately.
  • Create and maintain various documentation types.
  • Serve as a communication bridge within the HITL team.
  • Develop comprehensive documentation for internal and external audiences.
  • Manage projects involving multiple junior writers.
  • Lead complex programs from planning to delivery.
  • Coordinate with cross-functional teams across different offices and time zones.
  • Continuously improve documentation processes and workflows.

Requirements

  • Bachelor's degree in a relevant field or equivalent experience.
  • 10 years of experience in technical writing or instructional design.
  • Experience in task definition and instruction design principles.
  • Experience with HTML, Python, Data analysis, Markdown, or Git.
  • Experience collaborating with stakeholders to translate requirements.
  • Experience in developing and delivering training programs.

Benefits

  • Flexible work schedule.
  • Opportunity to work on cutting-edge AI projects.
  • Collaborative work environment.
  • Professional development opportunities.
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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