Want to get hired at Micro1?

Business Consulting Expert - AI Training - MSc or PhD

Micro1

HybridHybrid

Original Job Summary

Overview

Join micro1's team as a Business Consulting Expert - AI Training - MSc or PhD. In this full-time, remote role, you will leverage advanced business expertise to set new standards in evaluating AI capabilities.

Key Responsibilities

  • Develop complex, industry-specific AI assessment questions.
  • Create comprehensive rubrics for evaluating AI responses.
  • Collaborate with technical and non-technical teams.
  • Conduct rigorous analysis of AI performance.
  • Document methodologies and findings clearly.

Required Skills and Qualifications

  • MSc, PhD, or equivalent business experience.
  • Proven expertise in business consulting and management.
  • Exceptional communication and analytical skills.
  • Experience in developing evaluation criteria and rubrics.
  • Ability to collaborate in remote, cross-functional settings.

Preferred Qualifications

  • Experience with large language models or AI-driven solutions.
  • Publication record or thought leadership in the field.
  • Background in designing executive or graduate-level assessments.

Key skills/competency

Business Consulting, AI Training, Evaluation Rubrics, Analysis, Management, Communication, Remote Collaboration, Assessment Design, Strategic Thinking, Academic Expertise

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Research micro1's culture: Explore their mission and recent projects.
  • Customize your resume: Highlight business consulting and AI training skills.
  • Emphasize academic success: Include MSc or PhD credentials.
  • Prepare for remote interviews: Demonstrate effective communication.

📝 Interview Preparation Advice

Technical Preparation

Review AI model evaluation techniques.
Practice developing assessment rubrics.
Research latest AI business trends.
Study technical documentation standards.

Behavioral Questions

Describe a remote team collaboration example.
Explain a challenging decision making scenario.
Share experiences in academic workload management.
Discuss handling conflicting stakeholder feedback.