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Remote Machine Tool Instructor Jobs in Laurel, MD

Northramp LLC

AI Engineer (Mid)

Washington, DC · On-site +1

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Design human-in-the-loop agentic systems - defining agent roles, tool use, orchestration patterns ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Apply advanced statistical and machine learning techniques to decision support and policy/program ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · Remote

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Design human-in-the-loop agentic systems - defining agent roles, tool use, orchestration patterns ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Apply advanced statistical and machine learning techniques to decision support and policy/program ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Apply advanced statistical and machine learning techniques to decision support and policy/program ...

A-TEK Inc.

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Develop predictive models and machine learning algorithms. * Perform statistical analyses on ...

Eliassen Group

DevOps Software Engineer

Gaithersburg, MD · Remote

$45 - $50/hr

Administer virtual machine lifecycles using VMware and KVM. * Manage package ecosystems such as RPM ... Strong Python scripting and tool development. * Advanced Bash or shell scripting for build and ...

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Remote Machine Tool Instructor information

See Laurel, MD salary details

$63K

$67.4K

$71.4K

How much do remote machine tool instructor jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote machine tool instructor in Laurel, MD is $67,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $69,400.00 per year, depending on experience, location, and employer.

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, and why are they important?

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 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 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 job categories do people searching Remote Machine Tool Instructor jobs in Laurel, MD look for? The top searched job categories for Remote Machine Tool Instructor jobs in Laurel, MD are:
What cities near Laurel, MD are hiring for Remote Machine Tool Instructor jobs? Cities near Laurel, MD with the most Remote Machine Tool Instructor job openings:
Remote Machine Tool Instructor jobs near you
AI Engineer (Mid)

AI Engineer (Mid)

Northramp LLC

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

We are looking for an Application Architect with strong AI engineering experience to design and build intelligent, agentic applications on Google Cloud Platform. This role sits within an application engineering team and focuses on architecting AI-enabled systems using the Google Agentic Development Kit (ADK), Gemini, and Vertex AI - integrated into enterprise Java/Python backends and cloud-native microservices. You are equally comfortable defining application architecture, designing agentic workflows, writing production-quality code, and translating AI capabilities into practical, mission-aligned solutions for federal stakeholders.
This role is remote with a preference for candidates located in Virginia, Maryland, or Washington DC.
Key Responsibilities
  • Architect and implement AI-enabled application systems on GCP, with a focus on agentic workflows using Google ADK and Gemini Pro.
  • Design human-in-the-loop agentic systems - defining agent roles, tool use, orchestration patterns, and guardrails for responsible, auditable AI behavior.
  • Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and Python applications via well-designed APIs and microservices.
  • Lead application-layer design decisions: data flow, context management, session handling, and state management within agentic architectures.
  • Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data.
  • Conduct architectural reviews, define coding standards for AI-integrated applications, and mentor engineers on agentic design patterns.
  • Evaluate AI use cases for feasibility, risk, and mission fit; prototype and validate approaches before committing to full builds.
  • Contribute to responsible AI practices: explainability, human oversight, auditability, and alignment with federal AI governance requirements.
  • Stay current on the Google AI ecosystem (Gemini, ADK, Vertex AI Agent Builder) and inform team and leadership on strategic direction.

Requirements
Required Qualifications
  • 5-8 years of software or application engineering experience, with demonstrated focus on AI-integrated or intelligent application design.
  • Hands-on experience with Google ADK or comparable agentic frameworks (LangGraph, LangChain, AutoGen); Google ADK strongly preferred.
  • Proficiency in Python for AI/ML integration; Java experience a plus in application team context.
  • Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application workflows.
  • Solid understanding of agentic design patterns: tool use, multi-agent orchestration, retrieval-augmented generation (RAG), memory and context management.
  • Experience with GCP services: Vertex AI, Cloud Run, GKE, BigQuery, Pub/Sub.
  • Familiarity with REST API design, microservices architecture, and CI/CD pipelines (Harness preferred).
  • Understanding of responsible AI principles: human-in-the-loop design, auditability, bias awareness, and federal AI governance.
Desired Qualifications
  • Experience with Vertex AI Agent Builder, Gemini Code Assist, or Gemini CLI in a development workflow context.
  • Familiarity with GCP-native data tooling: BigQuery, Dataform, Looker.
  • Experience on federal or large-scale enterprise modernization programs.
  • Exposure to FedRAMP/FISMA requirements and security-compliant AI deployment practices.
  • Experience with DevSecOps pipelines (Checkmarx, Invicti, or equivalent SAST/DAST tooling).
Additional Information
  • Successful completion of a client-required background investigation and suitability determination will be required.
  • The ability to obtain and maintain a federal security clearance may be required based on engagement.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field; advanced degree a plus.
  • Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer certification preferred.
  • Security+ desirable.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Wellness Resources
  • Employee Bonus Programs

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