Mathematics AI Trainer
@ Micro1

Hybrid
$100,000
Hybrid
Contractor
Posted 21 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @micro1.com
Recommended after applying

Job Details

About the Role

Join our customer's team as a Mathematics AI Trainer at micro1. Leverage your expertise in advanced mathematics to shape the next generation of AI technologies while working remotely.

Key Responsibilities

  • Annotate and review mathematical datasets with precision.
  • Create, evaluate, and refine data for AI training focused on calculus and algebra.
  • Adapt writing style to meet diverse customer and project requirements.
  • Collaborate with interdisciplinary teams to enhance data quality.
  • Conduct research to synthesize complex topics and maintain academic integrity.
  • Communicate findings clearly and provide actionable feedback.

Required Skills and Qualifications

Associate’s Degree or relevant work experience, proficiency in English (C2), deep understanding of U.S. culture, and strong research capabilities. Ability to write and adapt educational STEM material with exceptional attention to detail.

Preferred Qualifications

Experience in fast-paced environments, background in AI model training within educational contexts, and proficiency in adapting content for diverse audiences.

Key skills/competency

  • Mathematics
  • AI Training
  • Data Annotation
  • Calculus
  • Algebra
  • Research
  • Content Adaptation
  • Dataset Review
  • Academic Integrity
  • STEM Education
Apply without a personalized resume

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Align skills with mathematics and AI training.
  • Highlight relevant experience: Emphasize data annotation and research work.
  • Prepare for technical questions: Review calculus and algebra basics.
  • Show cultural fit: Reflect U.S.-based norms and academic integrity.

📝 Interview Preparation Advice

Technical Preparation

Review calculus fundamentals.
Practice data annotation techniques.
Study AI model training basics.
Brush up on algebra concepts.

Behavioral Questions

Describe time you solved a complex problem.
Explain collaboration in interdisciplinary settings.
How do you handle tight deadlines?
Share experiences adapting content styles.

Frequently Asked Questions