Computer & Information Systems - AI Trainer
@ Micro1

Hybrid
$60,000
Hybrid
Part Time
Posted 4 days ago

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XXXXXXXX XXXXXXXXX XXXXXXX***** @micro1.com
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Job Details

About the Role

The Computer & Information Systems - AI Trainer role at micro1 is a part-time remote position. In this role, you will contribute directly to the development of cutting-edge artificial intelligence systems by leveraging your domain expertise to train and fine-tune AI models.

Key Responsibilities

  • Create, review, and refine training data for AI systems.
  • Evaluate AI-generated outputs for accuracy and relevance.
  • Provide expert input on system design and technical troubleshooting.
  • Collaborate with AI research teams and offer structured feedback.
  • Keep updated with technology trends to support high-quality data creation.

Required Skills and Qualifications

Extensive experience in computer and information systems operations, project planning, troubleshooting, and systems analysis. Demonstrated ability to abstract real-world expertise into scalable training data, strong written communication skills, and the ability to work independently in a fast-paced research environment.

Preferred Qualifications

Previous experience as an AI trainer or similar technical leadership role, certifications in project management, IT, or AI-related fields, and familiarity with disaster recovery planning and strategic computing solutions.

Key skills/competency

  • AI Training
  • Systems Analysis
  • Technical Troubleshooting
  • Data Annotation
  • Workflow Optimization
  • Project Coordination
  • Feedback Provision
  • Research Collaboration
  • Technical Communication
  • Trend Analysis

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Tailor your resume: Emphasize AI and systems training experience.
  • Research micro1: Understand their culture and recent projects.
  • Highlight technical skills: Showcase data annotation and troubleshooting.
  • Prepare examples: Discuss AI model optimization in interviews.

📝 Interview Preparation Advice

Technical Preparation

Review AI data annotation techniques.
Practice systems troubleshooting exercises.
Study workflow optimization strategies.
Update knowledge on AI model evaluation.

Behavioral Questions

Describe a team collaboration challenge.
Explain handling tight project deadlines.
Share a time you adapted quickly.
Discuss feedback delivery in projects.

Frequently Asked Questions