Remote AI Engineering Trainer (Contractor)

Fearless Solutions

Baltimore (MD)

Remote

USD 83,000 - 165,000

Full time

14 days+
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Job summary

Fearless Solutions seeks an AI Engineering Trainer for a 10-week remote 1099 engagement. You will lead a cohort through Fearless-designed curriculum, blending live instruction, hands-on labs, and projects.

The role emphasizes practical AI engineering, Python, and secure software delivery in enterprise contexts. You will guide participants through AI-enabled development, prompt engineering, RAG, AI orchestration, and agentic AI concepts with coaching and constructive feedback across labs and

Qualifications

  • Minimum 5 years of AI/ML engineering or related tech discipline.
  • Hands-on experience deploying AI/agentic AI in production.
  • Experience delivering technical instruction to adult learners.
  • Strong Python and modern AI/LLM tool knowledge.
  • Familiarity with AI-enabled app development, APIs, data integration, testing.
  • Experience with prompt engineering, RAG, AI orchestration.

Responsibilities

  • Deliver live, instructor-led training on AI engineering and AI-enabled software development.
  • Lead hands-on labs, demos, projects, and collaborative work.
  • Teach Python, AI/LLM tools, APIs, data concepts, and secure delivery practices.
  • Guide AI-assisted engineering workflows including code generation and testing.
  • Provide prompt engineering, RAG, and agentic AI coaching per curriculum.
  • Reinforce responsible AI, data governance, privacy, and security.
  • Offer real-time troubleshooting, code review, and feedback during labs.
  • Assess progress through labs, assignments, and capstones.

Skills

AI/ML engineering
Software engineering
Data engineering
Python
Instructional experience
Adult education
Prompt engineering
RAG
Agentic AI
Communication skills

Job description

Fearless Solutions seeks an AI Engineering Trainer for a 10-week remote 1099 engagement. You will lead a cohort through Fearless-designed curriculum, blending live instruction, hands-on labs, and projects.

The role emphasizes practical AI engineering, Python, and secure software delivery in enterprise contexts. You will guide participants through AI-enabled development, prompt engineering, RAG, AI orchestration, and agentic AI concepts with coaching and constructive feedback across labs and

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