Mathematics - AI Trainer
@ Micro1

Hybrid
$90,000
Hybrid
Contractor
Posted 21 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @micro1.com
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Job Details

Position Overview

Join our customer's team as a Mathematics - AI Trainer at micro1. Leverage your expertise in mathematics to shape the next generation of AI technologies, focusing on data annotation and model training.

Key Responsibilities

  • Annotate and review mathematical datasets with precision.
  • Create, evaluate, and refine data for AI model training, emphasizing calculus and algebra.
  • Adapt writing styles to meet varied customer and project requirements.
  • Collaborate with interdisciplinary teams to improve data quality.
  • Conduct research to simplify complex topics and maintain academic integrity.
  • Maintain meticulous attention to detail on voluminous data.
  • Communicate findings clearly both in writing and verbally.

Required Skills and Qualifications

  • Associate’s Degree or equivalent experience in a relevant field.
  • Experience with written language data annotation and markup.
  • Exceptional English proficiency (C2 level) with strong writing and comprehension.
  • Sound understanding of U.S. culture and academic norms.
  • Excellent research skills with emphasis on proper citation.
  • Ability to develop educational material for high-school STEM subjects.
  • Strong attention to detail.

Preferred Qualifications

  • Experience in fast-paced, evolving work environments.
  • Background in developing or training AI models in educational contexts.
  • Skill in adapting content for diverse audiences and style guides.

Key skills/competency

  • mathematics
  • AI
  • training
  • data annotation
  • calculus
  • algebra
  • research
  • interdisciplinary
  • compliance
  • academic integrity
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How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Research micro1's culture: Study their mission, values, and news thoroughly.
  • Customize your resume: Highlight relevant mathematics and AI skills.
  • Detail data annotation experience: Emphasize projects and outcomes.
  • Prepare for behavioral interviews: Practice clear communication and teamwork examples.

📝 Interview Preparation Advice

Technical Preparation

Review dataset annotation guidelines.
Brush up on calculus and algebra concepts.
Practice data markup tools usage.
Study AI model training fundamentals.

Behavioral Questions

Describe teamwork examples clearly.
Explain your attention to detail.
Discuss handling extended tasks calmly.
Illustrate interdisciplinary collaboration experiences.

Frequently Asked Questions