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Math Expert – AI Trainer

Micro1

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Original Job Summary

Math Expert – AI Trainer

Join micro1's team as a Math Expert – AI Trainer and help shape the intersection of advanced mathematics and artificial intelligence. In this impactful remote contract role, you will use your expertise to solve textbook exercises and document comprehensive, step-by-step solutions to enhance AI systems for educational excellence.

Key Responsibilities

  • Solve textbook exercises in algebra, calculus, statistics, and applied mathematics.
  • Develop and document comprehensive, step-by-step solutions.
  • Evaluate and annotate AI-generated mathematical solutions.
  • Maintain structured records of methodologies and problem-solving workflows.
  • Collaborate with project managers and peer reviewers.
  • Stay current with best practices in mathematical instruction.
  • Review and edit mathematical content for clarity and accuracy.

Required Skills and Qualifications

  • Master’s degree or PhD in Mathematics, Applied Mathematics, or a related field.
  • Exceptional analytical reasoning and ability to breakdown complex problems.
  • Experience in teaching, tutoring, or academic research.
  • Outstanding communication skills for clear documentation.
  • Reliable with a commitment to dedicate 15–20 hours weekly.
  • Strong attention to detail and academic rigor.

Preferred Qualifications

  • Experience in textbook authorship or academic publishing.
  • Familiarity with AI, data annotation, or educational content development.
  • Experience in reviewing and editing mathematical content.

Key skills/competency

  • Mathematics
  • AI
  • Teaching
  • Tutoring
  • Research
  • Documentation
  • Analytical
  • Attention to Detail
  • Problem-Solving
  • Collaboration

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Highlight mathematics, AI and teaching skills.
  • Research micro1: Understand its mission and projects.
  • Tailor your application: Emphasize academic and technical expertise.
  • Prepare for interviews: Review problem-solving and documentation examples.

📝 Interview Preparation Advice

Technical Preparation

Review advanced algebra and calculus problems.
Practice mathematical problem-solving exercises.
Familiarize with AI-related documentation standards.
Study academic research methods in mathematics.

Behavioral Questions

Describe past teaching experiences.
Explain collaboration in academic projects.
Discuss problem-solving under tight deadlines.
Detail how you ensure quality documentation.