AI Trainer Expertise; Freelance, Remote

Overview

Remote

is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation.

Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including Soft Bank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

Shape the Future of AI Across Multiple Disciplines

The AI Trainer for PhD Expertise role offers a unique opportunity for experts and researchers holding a PhD in a wide range of subjects to leverage their specialized knowledge and develop advanced AI skills. As an AI Trainer for PhD, you will play a pivotal role in training AI models, ensuring the accuracy and relevance of content generated by AI across your area of expertise.

This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in various fields.

• Educate AI: Analyze and provide feedback on AI-generated outputs related to your field of expertise. Your guidance will directly improve the AI's accuracy and ability to apply its knowledge to real-world problems.
• Problem Solving: Utilize your expertise to provide step-by-step solutions and explanations to complex problems within your discipline. This could include developing mathematical models, analyzing biological data, interpreting legal frameworks, or exploring economic theories. Your input will be crucial in teaching the AI how to reason through these problems effectively.
• Red Teaming: Apply your deep understanding of your field to identify potential biases, limitations, or inaccuracies in the AI's knowledge base. Design and conduct tests that push the boundaries of the model's understanding, ensuring its outputs are reliable and applicable to real-world scenarios.
• Flexible Scheduling: Create your own working hours depending on project length, allowing you to manage your time effectively.

• Educational Background: Hold a PhD in one of the following disciplines or related fields:
• Math:
  • Foundations
  • Arithmetic
  • Algebra
  • Geometry
  • Trigonometry
  • Calculus
  • Probability & Statistics
  • Number Theory
  • Topology
• Non-Math / STEM Reasoning:
  • LSAT Tutors (Games/Puzzles, Logical Reasoning)
  • GMAT Tutors (Games/Puzzles, Logical Reasoning)
• Philosophy
• Science:
  • Chemistry
    • Organic Chemistry
    • Inorganic Chemistry
    • Physical Chemistry
    • Analytical Chemistry
    • Biochemistry
    • Theoretical Chemistry
    • Environmental Chemistry
  • Physics
    • Quantum Mechanics
    • Relativity (Special and General)
    • Nuclear Physics
    • Thermodynamics
    • Fluid Dynamics
    • Computational Physics
    • Astrophysics
  • Biology
    • Genetics
    • Neurobiology
    • Evolutionary Biology
    • Virology
    • Immunotherapy
    • Medicine
• Humanities
• Economy
• Law
• Generalists:
  • Art History
  • Creative Writing
  • Fashion Style
  • Humor
  • Education & Learning
  • Psychology
• Communication
  
  Skills:
  
  Possess a strong writing style with excellent English-language spelling and grammar skills.
• Analytical Ability: Have a critical eye and the ability to clearly articulate the strengths and weaknesses of written text.
• Professional
  
  Experience:
  
  Experience in professional writing roles such as researcher, journalist, technical writer, editor, or similar positions.
• Interest in AI: Demonstrate a keen interest in AI and machine learning concepts.

Application Requirement: All applicants for the AI Trainer for PhD role must apply through…