Software Engineer - AI Trainer
@ Micro1

Hybrid
$70,000
Hybrid
Part Time
Posted 4 days ago

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

Overview

Join our customer's team as a Software Engineer - AI Trainer. In this part-time, remote role, you will leverage your deep computer science expertise and passion for clear communication to improve cutting-edge AI models.

Key Responsibilities

  • Develop and refine challenging, domain-specific computer science questions.
  • Create comprehensive rubrics to assess AI-generated solutions.
  • Collaborate with technical and non-technical stakeholders.
  • Analyze AI model responses and identify reasoning gaps.
  • Leverage coding skills to simulate real-world programming challenges.
  • Iterate assessments based on AI performance feedback.
  • Document methodologies, rationales, and findings precisely.

Required Skills and Qualifications

A bachelor's degree or equivalent experience in computer science, software engineering, or a related field is required. You must have a strong foundation in software engineering, exceptional communication skills, and experience with technical assessments and rubrics.

Preferred Qualifications

Experience in training or evaluating AI models, particularly large language models or code generation tools, is a plus. Prior experience in creating educational content for technical training programs is also desirable.

Key skills/competency

  • Computer Science
  • Software Engineering
  • AI Model Training
  • Technical Assessment
  • Rubric Design
  • Collaboration
  • Communication
  • Coding
  • Analytical Thinking
  • Documentation
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How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Research micro1's culture: Study their mission and recent projects.
  • Customize your resume: Emphasize technical assessment experience.
  • Highlight AI skills: Detail relevant project work in AI.
  • Prepare for technical interviews: Review advanced computer science concepts.
  • Showcase communication: Provide clear, detailed examples.

📝 Interview Preparation Advice

Technical Preparation

Review domain-specific computer science challenges.
Practice coding challenges and technical assessments.
Study AI model evaluation techniques.
Refresh software engineering fundamentals.

Behavioral Questions

Describe a time you solved a complex problem.
Explain how you manage remote team communication.
Discuss adapting assessments based on feedback.
Share an experience with cross-functional collaboration.

Frequently Asked Questions