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Technical Trainer For Ai Coding Projects Jobs in Minnesota

... value for shareholders, customers, employees and the communities where we operate. Technical ... The Technical Trainer assists with training processes locally. The role reports into the site ...

Enterprise AI Architect

Eden Prairie, MN · On-site

$180K - $200K/yr

Must Have Technical/Functional Skills Enterprise AI Architect with Full Development Experience (FDE ... Code Governance * Lead implementation of performance benchmarking frameworks for APIs, AI models ...

Senior AI Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Lead the technical architecture and strategy for AI‑powered projects * Design scalable ... AI Architecture Expertise : Deep understanding of production AI systems design, scalability, and ...

Position Overview The Technical Trainer delivers technical training courses to internal and ... Support the development of training materials for operator, administrator, and maintenance courses.

Showing results 21-40

Technical Trainer For Ai Coding Projects information

What are some common challenges technical trainers for AI coding projects face when teaching complex machine learning concepts to diverse groups?

Technical Trainers for AI coding projects often encounter the challenge of bridging varying skill levels within a single training group. Participants may range from beginners to experienced programmers, requiring the trainer to adapt explanations and hands-on activities accordingly. Additionally, keeping up with rapidly evolving AI tools and frameworks means trainers must continuously update their own knowledge and course materials. Facilitating interactive, project-based learning while ensuring everyone stays engaged and understands foundational concepts is key to success in this role.

What are the key skills and qualifications needed to thrive as a technical trainer for AI coding projects, and why are they important?

To thrive as a Technical Trainer for AI Coding Projects, you need deep expertise in AI concepts, programming (such as Python), and instructional design, often supported by a relevant degree and experience in software development or AI. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and learning management systems, as well as certifications in AI or machine learning, is highly valuable. Excellent communication, patience, and adaptability help trainers engage diverse learners and tailor content to various skill levels. These skills ensure effective knowledge transfer, foster student confidence, and keep pace with evolving technology in the fast-moving AI field.

What does a technical trainer for AI coding projects do?

A Technical Trainer for AI Coding Projects is responsible for designing and delivering training programs that teach individuals or teams how to develop, implement, and maintain artificial intelligence models and applications. They create instructional materials, lead hands-on coding workshops, and provide guidance on best practices in machine learning, deep learning, and related technologies. Technical Trainers also stay up to date with the latest AI tools and frameworks to ensure learners acquire relevant and practical skills for real-world projects.

What is the difference between Technical Trainer For Ai Coding Projects vs Technical Instructor For AI Courses?

AspectTechnical Trainer For Ai Coding ProjectsTechnical Instructor For AI Courses
CredentialsRelevant certifications in AI, programming, and trainingSimilar certifications, often including teaching credentials or industry certifications
Work EnvironmentHands-on project environments, corporate training, or workshopsClassroom or online course settings, academic or training institutions
Employer & Industry UsageTech companies, startups, corporate training firmsUniversities, online education platforms, training institutes
Search & Comparison IntentFocus on practical AI coding skills and project-based trainingFocus on teaching AI concepts and curriculum delivery

While both roles involve training in AI, the Technical Trainer For Ai Coding Projects emphasizes hands-on project work and practical coding skills in real-world environments. In contrast, the Technical Instructor For AI Courses typically focuses on delivering theoretical knowledge and structured curricula in academic or online settings.

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What cities in Minnesota are hiring for Technical Trainer For Ai Coding Projects jobs? Cities in Minnesota with the most Technical Trainer For Ai Coding Projects job openings:
Infographic showing various Technical Trainer For Ai Coding Projects job openings in Minnesota as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Trainer - Microbiology Expert

micro1 AI

Minneapolis, MN • Remote

$70 - $90/hr

Part-time

Posted 9 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.