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Remote Machine Tool Instructor Jobs in Olney, MD

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 ...

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 ...

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 ...

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 ...

Data Engineer

Chantilly, VA ยท On-site +1

$117K - $140K/yr

... wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi ... Ability and willingness to quickly learn a new tool * Strong communication skills with both your ...

Principal Azure Cloud Engineer

Chantilly, VA ยท Remote

$141K - $236K/yr

Familiarity with the Atlassian tool suite, specifically JIRA and Confluence * Understanding of ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Data Engineer

Chantilly, VA ยท On-site +1

$150K - $200K/yr

... wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi ... Ability and willingness to quickly learn a new tool * Strong communication skills with both your ...

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 Olney, MD salary details

$65K

$69.6K

$73.7K

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 Olney, MD is $69,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $71,600.00 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 cities near Olney, MD are hiring for Remote Machine Tool Instructor jobs? Cities near Olney, MD with the most Remote Machine Tool Instructor job openings:
AI/ML Solutions Architect

AI/ML Solutions Architect

System One

Mclean, VA โ€ข Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

Job Title: AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design and implement agentic AI systems that enable autonomous decision-making, workflow orchestration, and mission process optimizationโ€”with appropriate guardrails and human oversight.
  • Develop Generative AI applications for summarization, extraction, predictive insights, and conversational interfaces.
  • Build and maintain scalable data pipelines integrating structured and unstructured data to support analytics and AI workloads.
  • Apply advanced statistical and machine learning techniques to decision support and policy/program evaluation.
  • Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking strategies, and retrieval quality optimization.
  • Perform prompt engineering, safety patterns, and defensive design.
  • Integrate knowledge graphs and develop graph-enhanced retrieval solutions.
  • Create and fine-tune embeddings and LLMs to enhance domain performance, accuracy, and robustness.
  • Develop entity graphs using entity resolution techniques to enable graph analytics and improved retrieval.
  • Collaborate across engineering, security, and stakeholder teams to prototype rapidly, iterate responsibly, and deliver mission-ready outcomes.
  • Lead deployment in AWS cloud environments utilizing Infrastructure-as-Code, DevOps/DevSecOps, and operational excellence practices.
  • Own and drive the technical foundation and delivery process for mission AI solutions, including system architecture, tooling, engineering and delivery standards, and hands-on technical leadership.
REQUIREMENTS
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelorโ€™s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).
  • Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems.
  • Strong Python proficiency and strong SQL skills (data modeling, query optimization).
  • Experience designing and delivering cloud-based AI/ML solutions end-to-end (ingestion, modeling, deployment, monitoring) in secure environments.
  • Hands-on experience with AI application frameworks such as LangChain, Haystack, crewAI, or similar.
  • Strong knowledge of core Python ML/data libraries: NumPy, Pandas, Scikit-learn, NLTK, OpenCV.
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with search technologies such as Elasticsearch or OpenSearch.
  • Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB).
  • Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.
  • Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, and related orchestration patterns.
  • Advanced prompt engineering skills for complex reasoning workflows beyond code generation.
  • Experience with asynchronous Python development (asyncio, concurrency, reliability).
  • Experience with MCP servers and tool-calling within agentic workflows (tool governance, security considerations).

System One, and its subsidiaries including Joulรฉ and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-CD1

Ref: #851-Rockville-S1