AI Trainer for Number Theory (Freelance, Remote)

Job Description

Alignerr, operated by Labelbox, is seeking an AI Trainer for Number Theory. This is a freelance, remote position where the candidate will contribute to shaping the future of AI in Number Theory. The role involves leveraging subject-matter expertise to train AI models, ensuring accuracy and relevance of number theory concepts generated by AI.

Role Involves:

• Educating AI by analyzing and providing feedback on AI-generated outputs related to number theory.
• Problem-solving by providing step-by-step solutions and explanations for number theory problems.
• Red Teaming by identifying potential biases, inaccuracies, or limitations in the AI’s understanding of number theory.

Requirements:

• Enrolled in or have completed a Bachelor’s degree or higher from an accredited institution.
• Native-level proficiency in Number Theory.
• Possess a strong writing style with excellent English-language spelling and grammar skills.
• Have a 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.

Role Offers:

• Flexible scheduling.
• Opportunity to directly impact the advancement of AI in Number Theory.
• Freelance position compensated on an hourly basis.