Mathematics - AI Trainer
@ Micro1

Hybrid
$90,000
Hybrid
Contractor
Posted 20 hours ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXX******* @micro1.com
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Job Details

Overview

Join our customer team as a Mathematics - AI Trainer at micro1. This remote role combines advanced mathematics with AI training and data annotation.

Key Responsibilities

  • Annotate and review mathematical datasets ensuring accuracy.
  • Create, evaluate, and refine data for AI model training.
  • Adapt writing style to meet customer and project needs.
  • Collaborate with interdisciplinary teams to enhance data quality.
  • Conduct research to synthesize complex mathematical topics.
  • Maintain meticulous attention to detail with large data volumes.
  • Communicate findings and feedback clearly in writing and verbally.

Required Skills and Qualifications

  • Associate’s Degree or equivalent work experience.
  • Experience with written language data, including annotation.
  • Exceptional proficiency in English (C2 level CEFR).
  • Thorough understanding of U.S.-based culture and norms.
  • Excellent research skills and commitment to academic integrity.
  • Ability to write and adapt educational material across STEM subjects.
  • Strong attention to detail for extended tasks.

Preferred Qualifications

  • Experience in fast-paced, dynamic environments.
  • Background in developing or training AI models in educational settings.
  • Proficiency in adapting content for diverse audiences and style guides.

Key skills/competency

AI Training, Data Annotation, Mathematics, Calculus, Algebra, Research, Writing, Collaboration, Academic Integrity, Detail-Oriented

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How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Highlight specific math and AI training experience.
  • Research micro1: Understand company mission and recent projects.
  • Tailor your application: Align skills with data annotation needs.
  • Practice clear communication: Prepare examples demonstrating academic rigor.

📝 Interview Preparation Advice

Technical Preparation

Review data annotation tools and techniques.
Practice creating and refining AI datasets.
Brush up on calculus and algebra problems.
Test proficiency in technical writing and research.

Behavioral Questions

Explain your attention to detail in projects.
Describe experience in interdisciplinary teamwork.
Share a challenging communication scenario.
Discuss adaptability in dynamic work environments.

Frequently Asked Questions