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AI Training for Mathematic Reasoning

outlier · 30+ days ago
Remote
Negotiable
Full-time
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Are you interested in teaching next-gen AI models about Mathematic Reasoning and deepening your domain expertise?

Earnings:

  • Hourly rate: up to $50.00

About the Opportunity: 

  • Cutting-Edge Projects: Work on challenging projects that push the boundaries of AI.
  • Flexibility: Set your own hours and work remotely from any of the approved locations! 
  • Weekly payouts: Get paid conveniently on a weekly basis.
  • Professional growth: Gain valuable experience in AI while honing your writing skills and deepening your domain expertise.
  • Collaborative environment: Join a team of talented professionals who share your passion for AI and Mathematics.
  • Duration: Variable depending on project length, flexible hours.
  • Location: Remote; United States, Canada, Puerto Rico, Mexico, United Kingdom, Australia, New Zealand, and Argentina

Responsibilities:

  • You will train AI models by crafting and answering questions related to your field.
  • You will create complex and thought-provoking Math & Reasoning prompts; we are trying to strengthen AI's weakness in math & reasoning. 

  • You will evaluate and rank responses generated by AI systems.

  • You will use your domain expertise to assess the factuality and relevance of text produced by AI models

Qualifications:

  • Bachelors, Master, PhD or equivalent proficiency in mathematics, STEM, or related-field.
  • Complete fluency in the English language is required.
  • Excellent attention to detail and ability to maintain consistency in writing and spot errors or inconsistencies.
  • Excellent written and verbal communication skills in English.

Nice to Have:

  • Professional writing experience as a researcher, journalist, technical writer, editor, or similar roles.
  • Mathematical competition experience : Olympiad, IMO, AMC8, AMC10, AMC12
  • Teaching credentials.
  • Solid subject matter knowledge in other mathematics subfields as well as STEM.
  • Interest in AI and machine learning concepts.

Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Pay rates vary during the project lifecycle. For example, rates for onboarding are lower.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Last updated on Feb 1, 2024

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