Earth Sciences Expertise Sought for AI Training

  • Contract
  • London
  • Posted 3 hours ago

Lifelancer

Job title:

Earth Sciences Expertise Sought for AI Training

Company

Lifelancer

Job description

Earth Sciences Expertise Sought for AI TrainingRemote anywhere in United States, Canada, United Kingdom, Australia, and New ZealandApplyOutlier helps the worlds most innovative companies improve their AI models by providing human feedback.Are you an experiencedEarth Sciencesexpertwho would like to lend your expertise to train AI models?About the opportunity:

  • Outlier is looking for talentedEarth Sciencesexpertsto help train generative artificial intelligence models
  • This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you

You may contribute your expertise by

  • Assessing the factuality and relevance of domain-specific text produced by AI models
  • Crafting and answering questions related toEarth Sciences
  • Evaluating and ranking domain-specific responses generated by AI models

Examples of desirable expertise:

  • A bachelor’s or higher degree inEarth Sciencesor a related subject
  • Experience working as aEarth Sciencesprofessional
  • Ability to write clearly about concepts related toEarth Sciencesin fluent English

Payment:

  • Currently, pay rates for core project work byEarth Sciencesexperts range from $30 to $50 per hour USD.
  • Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Lifelancer ( ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.Please use the below Lifelancer link for job application and quicker response.

Expected salary

Location

London

Job date

Thu, 14 Nov 2024 23:30:03 GMT

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Job Location