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AI Trainer for Earth Sciences (Freelance, Remote)

Posted 33 weeks ago
All others
Freelance
Worldwide
$15 - $150 USD/hour

Overview

This innovative role as an AI Trainer - Earth Sciences offers a unique opportunity to leverage your subject-matter expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Earth Sciences content generated by AI.

In Short

  • Shape the future of AI in Earth Sciences.
  • Analyze and provide feedback on AI-generated outputs.
  • Provide step-by-step solutions to complex problems.
  • Identify potential biases and limitations in AI knowledge.
  • Create your own working hours.
  • Freelance position compensated on an hourly basis.
  • Must be authorized to work in your country of residence.
  • Not an internship opportunity.
  • Compensation rates may vary for non-US locations.
  • Expected hourly rate range is $15 - $150 USD.

Requirements

  • Enrolled in or have completed an Associates’ degree or higher.
  • Strong writing style with excellent English-language skills.
  • Ability to articulate strengths and weaknesses of written text.
  • Interest in AI and machine learning concepts.

Benefits

  • Flexible scheduling.
  • Direct impact on the advancement of AI in Earth Sciences.
  • Opportunity to work with leading AI teams.
  • Engagement with a community of subject matter experts.
  • Work remotely from anywhere.

Alignerr

Alignerr

Alignerr.com is a collaborative platform that brings together subject matter experts from various fields to enhance AI models by generating high-quality data, particularly in the realm of Generative AI. Operated by Labelbox, a leading data-centric AI platform, Alignerr focuses on integrating human expertise with AI technologies to improve the accuracy and efficiency of intelligent applications. Labelbox serves a diverse clientele, including Fortune 500 companies across industries such as insurance, retail, and healthcare, and is supported by prominent investors. The company is dedicated to advancing AI capabilities while ensuring effective human oversight and automation.

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