AI Trainer for Topology (Freelance, Remote)

Job Description

Alignerr, operated by Labelbox, is seeking an AI Trainer for Topology for a freelance, remote position. In this role, the candidate will leverage subject matter expertise to train AI models, improve the accuracy of AI-generated topology concepts, and solve topology challenges. The role offers flexible scheduling and the opportunity to contribute to the advancement of AI in Topology.Role involves:

• Analyzing and providing feedback on AI-generated outputs related to topology.
• Providing step-by-step solutions and explanations for problems involving homeomorphisms, compactness, and metric spaces.
• Identifying potential biases, inaccuracies, or limitations in the AI’s understanding of topology.
• Designing tests that ensure its outputs are robust and applicable to practical applications.

Requirements:

• Enrolled in or have completed a Bachelor’s degree or higher.
• Native-level proficiency in Topology.
• Strong writing style with excellent English-language spelling and grammar skills.
• Critical eye and the ability to clearly articulate the strengths and weaknesses of written text.
• Professional writing experience as a researcher, journalist, technical writer, editor, or similar roles.
• Interest in AI and machine learning concepts.

Alignerr offers:

• Flexible scheduling