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Subject Matter Expert (Medical Students) - Remote

Posted Yesterday
All others
Freelance
Worldwide

Overview

DataForce by TransPerfect is seeking French-speaking medically trained students to contribute to the development of next-generation AI technologies. This is an opportunity to collaborate on pioneering projects that integrate domain-specific scientific expertise with AI model design, training, and validation.

In Short

  • Work location is remote, anywhere.
  • Engagement model is freelance or independent contractor.
  • Engagement time is 3 weeks.
  • Weekly workload is up to 10 hours.
  • Requires advanced level in French and English.
  • Medical students (beginner to intermediate level) are eligible.
  • Responsibilities include data entry and validation from source documents.
  • Must maintain data quality and confidentiality.
  • Participation in training sessions and feedback loops is required.
  • Start date is ASAP.

Requirements

  • Medical student (beginner to intermediate level).
  • Ability to read and understand lab reports.
  • Basic understanding of laboratory workflows and terminology.
  • Prior experience with lab data is preferred.
  • High accuracy and attention to detail.
  • Ability to identify missing or inconsistent information.

Benefits

  • Opportunity to work with cutting-edge AI technologies.
  • Flexible working hours.
  • Gain experience in data handling and validation.
  • Work in a collaborative environment.
  • Enhance skills in data privacy and security.
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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