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Remote Machine Tool Instructor Jobs in Colorado (NOW HIRING)

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Tool use and planning * Multi-step reasoning over customer state * Autonomous workflow execution

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Tool use and planning * Multi-step reasoning over customer state * Autonomous workflow execution

New

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Tool use and planning * Multi-step reasoning over customer state * Autonomous workflow execution

New

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Tool use and planning * Multi-step reasoning over customer state * Autonomous workflow execution

New

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Tool use and planning * Multi-step reasoning over customer state * Autonomous workflow execution

New

Trimble

Copy Editor

Westminster, CO · On-site +1

Partner with KM Managers to drive tool uniformity, establish best-in-class methodologies, and build ... Location: Westminster, CO or Atlanta, GA (Hybrid: 4 days in-office, 1 day remote) Travel ...

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Remote Machine Tool Instructor information

What is a remote machine tool instructor?

A Remote Machine Tool Instructor is a professional who teaches students or trainees how to safely and effectively operate machine tools, such as lathes, milling machines, and CNC equipment, through online platforms. They provide instruction, demonstrations, and feedback using virtual classrooms, video tutorials, and remote assessments. These instructors often develop curricula, evaluate student progress, and may assist with troubleshooting and programming of various machine tools. The role requires both technical expertise in machining and strong communication skills to engage learners remotely.

What are the key skills and qualifications needed to thrive as a remote machine tool instructor?

To thrive as a Remote Machine Tool Instructor, you need deep expertise in machining processes, CNC operations, and instructional techniques, typically supported by technical certifications or a relevant degree. Familiarity with CAD/CAM software, virtual teaching platforms, and machine simulation tools is essential. Excellent communication, patience, and adaptability are vital soft skills for engaging students and addressing diverse learning needs remotely. These skills and qualifications ensure effective instruction, student understanding, and the safe application of machine tool concepts in a virtual setting.

What are some common challenges remote machine tool instructors face, and how can they effectively address them?

One of the main challenges for Remote Machine Tool Instructors is ensuring students have hands-on access to equipment and can safely operate machinery from a distance. Instructors often need to rely on virtual simulations, video demonstrations, and remote monitoring to bridge the gap. Clear communication, detailed feedback, and the use of interactive platforms are essential to keep learners engaged and ensure safety protocols are understood. Collaborating closely with on-site facilitators or lab assistants can also help address practical learning needs and provide immediate support for students.

What is the difference between Remote Machine Tool Instructor vs Machine Tool Technician?

AspectRemote Machine Tool InstructorMachine Tool Technician
CredentialsTypically requires certifications in CNC programming, machining, or related fieldsRequires technical certifications or vocational training in machine maintenance and operation
Work EnvironmentPrimarily remote training, online instruction, or virtual supportOn-site manufacturing or workshop environments
Employer & Industry UsageUsed by educational institutions, training centers, and manufacturing companies for remote instructionEmployed directly in manufacturing plants, workshops, or service providers for machine maintenance

The main difference is that Remote Machine Tool Instructors focus on teaching and training remotely using online platforms, while Machine Tool Technicians work hands-on in physical environments maintaining and repairing machines. Both roles require technical certifications, but their work settings and daily tasks differ significantly.

What are popular job titles related to Remote Machine Tool Instructor jobs in Colorado?

For Remote Machine Tool Instructor jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Machine Tool Instructor jobs in Colorado look for?

The top searched job categories for Remote Machine Tool Instructor jobs in Colorado are:

What cities in Colorado are hiring for Remote Machine Tool Instructor jobs?

Cities in Colorado with the most Remote Machine Tool Instructor job openings:

Remote Machine Tool Instructor jobs near you

Principal Machine Learning Engineer

3B Staffing LLC

Denver, CO • Remote

Contractor

Posted 6 days ago

Job description

Principal Machine Learning Engineer

Location: Remote
Type: Contract-to-Hire
Experience: 6-12+ years
Education: Master's or PhD preferred

LLM/Generative AI, Multi-Agent AI (Planner/Executor, ReAct, Tool-Use), RAG, Embeddings, Retrieval Optimization, NLP, Transformers, Deep Learning, Model Fine-Tuning, PyTorch, Hugging Face, LangChain/LlamaIndex, Kubernetes, Vector Databases, ML Monitoring & Observability.

Core Stack: Python, PyTorch, Hugging Face, LangChain/LlamaIndex, RAG, LLMs, Transformers, Vector Databases, Kubernetes, Multi-Agent AI, ML Observability.

Job Summary

We are seeking 2 Principal Machine Learning Engineers to join a collaborative team building and deploying advanced AI and LLM-based solutions. The ideal candidate will have strong hands-on experience in Machine Learning, Generative AI, LLMs, RAG and multi-agent systems, with the ability to translate complex technical concepts into practical business solutions.

The role requires someone who has spent the last 2-3 years heavily focused on modern AI/LLM technologies and has experience taking ML systems from development through production.

Required Skills

  • 6-12+ years of experience in Data Science and Machine Learning Engineering
  • Strong hands-on experience building and deploying LLM-based systems
  • Expertise in Generative AI and NLP
  • Proven experience with multi-agent architectures, including Planner/Executor, Tool-Use Agents and ReAct-style agents
  • Strong experience with Retrieval-Augmented Generation (RAG)
  • Hands-on experience with embeddings and retrieval optimization
  • Experience developing LLM/ML model evaluation frameworks
  • Strong knowledge of Transformers and Deep Learning
  • Experience with model fine-tuning
  • Hands-on experience with PyTorch and Hugging Face
  • Experience with LangChain and/or LlamaIndex
  • Experience working with Kubernetes
  • Experience with vector databases
  • Experience designing and operating production-grade ML systems
  • Experience with ML monitoring, observability and evaluation

Preferred Qualifications

  • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science or a related field
  • Experience architecting enterprise-scale AI/LLM platforms
  • Experience with production agentic AI systems
  • Strong understanding of LLM evaluation, hallucination reduction and retrieval quality
  • Experience with cloud-based ML/AI infrastructure
  • Strong communication and stakeholder management skills

Key Responsibilities

  • Design, develop and deploy production-grade LLM and Generative AI solutions
  • Build and optimize RAG pipelines, embeddings and retrieval systems
  • Design and implement multi-agent architectures
  • Fine-tune and evaluate transformer-based models
  • Develop scalable ML/AI services and infrastructure
  • Build monitoring, observability and evaluation frameworks for production AI systems
  • Collaborate with data scientists, engineers, product teams and business stakeholders
  • Translate business requirements into scalable AI/ML solutions
  • Provide technical leadership and mentorship across AI/ML initiatives

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