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AI Training for Neuroscience (Freelance, Remote)

Posted 20 weeks ago
All others
Contract
Worldwide
$15 - $150 USD/hour

Overview

Contribute to the cutting edge of AI development by shaping how AI understands the complexities of the human brain as an AI Tutor - Neuroscience.

In Short

  • Analyze and refine AI-generated outputs related to neuroscience concepts.
  • Craft clear explanations for complex neuroscience topics.
  • Design evaluation strategies for AI model comprehension.
  • Identify vulnerabilities and propose solutions for AI understanding.
  • Work with a team focused on generative AI and LLMs.
  • Engage with leading enterprises and AI teams.
  • Utilize a strong theoretical and practical understanding of neuroscience.
  • Communicate effectively with technical and non-technical audiences.
  • Explore the intersection of AI and neuroscience.
  • Contribute to a data-centric AI platform.

Requirements

  • Master's degree or Ph.D. in Neuroscience or related field.
  • MD with specialization in neuroscience is acceptable.
  • Excellent communication skills.
  • Strong analytical and critical thinking skills.
  • Passion for AI and neuroscience.

Benefits

  • Work remotely.
  • Engage with a community of subject matter experts.
  • Contribute to innovative AI projects.
  • Collaborate with Fortune 500 companies.
  • Be part of a leading data-centric AI platform.

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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