Expert AI Data Trainer (Chemistry)

Expert AI Data Trainer (Chemistry) London, England

Invisible Technologies
Full Time London, England 10.56 - 12.04 GBP Today
Job description

Join one of our innovative and rapidly expanding partner client's dedicated to training artificial intelligence (AI) models. Our Partner client is offering remote opportunities to work on exciting projects aimed at enhancing the capabilities of AI models. As a key contributor, you will play an instrumental role in shaping the future of AI-driven solutions. We value your expertise and provide competitive compensation and flexible working arrangements.

Responsibilities:

  • Collaborate on diverse writing projects to train generative AI models.
  • Engage in tasks such as ranking AI-generated responses, creating captivating responses based on given topics, and assessing factual accuracy of AI-generated text.
  • Contribute your mastery of Chemistry to enhance the AI models' knowledge and output proficiency.

Qualifications:

  • Master's or PhD degree in Chemistry, showcasing a comprehensive understanding of the subject matter.
  • Very high proficiency in written and spoken English.
  • Strong command over written communication, ensuring clarity, accuracy, and coherence.
  • Adept at critical analysis and evaluation of written content.

Nice to Have Skills:

  • Writing experience in roles such as copywriter, journalist, technical writer, or editor.
  • Familiarity with AI technologies and their application in the field of writing.

Earnings & Logistics:

  • Compensation: $23.50 per hour / DoE
  • Location: Remote
  • Duration: Project-based, with flexible working hours (available between 15-40hrs/week depending on your preference).

This is a pioneering opportunity to train AI models and shape the future of the space.


  • This role is not with Invisible Technologies. All work will be conducted with our client, a leading AI organisation.

Expert AI Data Trainer (Chemistry)
Invisible Technologies

https://www.invisible.co
San Francisco, United States
Francis Pedraza
Unknown / Non-Applicable
51 to 200 Employees
Company - Private
Software Development
2015
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