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Remote Machine Tool Instructor Jobs in Harrison, NJ

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Strong knowledge of programming languages with a focus on machine learning and advanced analytics ...

Charlie Health

Learning Architect

New York, NY · Remote

$42/hr

... all instructors * Instructional Support: Embed clear instructions within materials to help ... Tool Proficiency: Strong proficiency in presentation software (Google Slides, PowerPoint), document ...

MLabs

Full Stack AI Engineer

New York, NY · On-site +1

$140K - $200K/yr

Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European ... Partner with research and machine learning teams to integrate AI capabilities into production ...

Lancesoft

Virtual Learning Producer

Franklin Lakes, NJ · On-site +1

$39.37 - $78.74/hr

Option on site/Hybrid or remote Bill rate range - Client is seeking an experienced Learning Virtual ... Own end-to-end production of virtual instructor-led (vILT), hybrid, and large-scale Client ...

Computer Task Group, Inc

AI Native Developer

Whippany, NJ · On-site +1

$48 - $53/hr

Whippany, NJ (hybrid remote) Duration: 6 months An AI-Native Developer (or AI-Native Engineer ... Build autonomous or semi-autonomous agents, orchestrate agent planning loops, manage tool calling ...

Computer Task Group, Inc

AI Native Developer

Whippany, NJ · On-site +1

$48 - $53/hr

Whippany, NJ (hybrid remote) Duration: 6 months An AI-Native Developer (or AI-Native Engineer ... Build autonomous or semi-autonomous agents, orchestrate agent planning loops, manage tool calling ...

Kestra Technologies

Head of Sales

New York, NY · Remote

US (New York or East Coast) - Remote Type: Full-time About Kestra Kestra is the universal ... Not a dev tool. The execution backbone -- one engine, every use case, every team. We are not riding ...

Autodesk

Sr. Principal IAM Security Engineer

New York, NY · Remote

$125K - $171K/yr

Remote Eligible Team: Cyber Defense - IAM Autodesk's Cyber Defense team is looking fora Sr ... Embed AI and machine learning capabilities into IAM platforms and security tooling to enable ...

TMS

AI Architect- Insurance domain

Edison, NJ · Remote

$75/hr

Remote/ EST Experience: 15+ years overall; 4+ years in AI/ML architecture/engineering Role Summary ... Standardize patterns for tool usage across teams, including MCP-based workflows/integrations (where ...

Computer Task Group, Inc

AI Native Developer

Whippany, NJ · On-site +1

$48 - $53/hr

Whippany, NJ (hybrid remote) Duration: 6 months An AI-Native Developer (or AI-Native Engineer ... Build autonomous or semi-autonomous agents, orchestrate agent planning loops, manage tool calling ...

B12

Web Designer

New York, NY · On-site +1

... tool called Orchestra. We have open sourced Orchestra, and are building it to empower creative and ... You are remote or a local NYC web designer. * You have excellent written English skills. * You have ...

DeepIntent

Director, Data Ontology

New York, NY · On-site

$180K - $200K/yr

This layer runs on well-structured, well-defined, and human- and machine-readable knowledge. As the ... Familiarity with MCP (Model Context Protocol) or API schema design for AI tool use * Familiarity ...

All JobsRemote Machine Tool Instructor JobsRemote Machine Tool Instructor Jobs in Harrison, NJ

Remote Machine Tool Instructor information

See Harrison, NJ salary details

$66.5K

$71.2K

$75.4K

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

As of Jun 25, 2026, the average yearly pay for remote machine tool instructor in Harrison, NJ is $71,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $73,300.00 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.
Remote Machine Tool Instructor jobs near you
Machine Learning Engineer (LLM / Personalization)

Machine Learning Engineer (LLM / Personalization)

Qloo

New York, NY • On-site, Remote

$100K - $120K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Job description

About Us

At Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data-over half a billion records of public figures, places, music artists, media, brands, and more, plus a globe-spanning consumer behavior and sentiment database-to unearth deep insights about consumer preferences.

From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter.

And the best part? Qloo's API suite is powered by cultural entities, not personal identities-ensuring our insights are derived without relying on personally identifiable information.

As we expand our investment in LLMs and AI agents, we are building the next generation of intelligent systems that combine generative models with structured taste intelligence-bringing reliability, explainability, and real-world grounding to AI applications.

Role Overview

As a Machine Learning Engineer reporting to the LLM Research Lead, you will operate at the intersection of large language models, recommendation systems, and Qloo's proprietary taste graph.

You will work closely with Research and Data Engineering teams to design and deploy systems that integrate LLMs with structured cultural intelligence. This includes building production-ready ML systems, experimenting with new model architectures, and developing novel approaches to grounding generative AI in real-world data.

This role is ideal for someone who enjoys both research-adjacent work and shipping production systems-and wants to shape how LLMs interact with structured knowledge at scale.

Responsibilities
  • Design, build, and deploy machine learning models and systems that power personalization, recommendation, and taste understanding

  • Develop and productionize LLM-powered features, including retrieval-augmented generation (RAG), agent workflows, and prompt / tool orchestration

  • Integrate LLMs with Qloo's structured entity graph and embedding systems to improve accuracy, relevance, and explainability

  • Experiment with and evaluate modern ML approaches (transformers, embedding models, ranking systems, hybrid recommenders)

  • Collaborate with Data Engineering to leverage large-scale datasets for LLM pipelines

  • Contribute to model evaluation frameworks and optimize model performance, cost, and latency in production environments

  • Stay up-to-date with the latest advancements in LLMs, recommendation systems, and applied ML-and bring those insights into production

Qualifications

  • Strong experience in Python and machine learning frameworks (e.g., PyTorch, CUDA, Metaflow/Kubeflow, etc)

  • Experience working with large language models (LLMs), including APIs (OpenAI, Anthropic, etc) and/or open-source models (Hugging Face)

  • Familiarity with retrieval systems, embeddings, vector search, or recommendation systems

  • Experience building and deploying ML systems in production environments

  • Solid understanding of data pipelines (Airflow) and working with large-scale datasets (e.g., Spark, S3, SQL)

  • Experience with AWS or similar cloud platforms

  • Experience working in AI-native development workflows, including heavy use of tools like Claude Code, Cursor, or similar

  • Strong problem-solving skills and ability to work across both research and engineering domains

  • Prior experience in a startup or fast-paced environment

We Offer
  • Competitive salary and benefits package, including health insurance, retirement plan, and paid time off

  • The opportunity to shape how LLMs and structured data systems work together in real-world applications

  • A collaborative, low-ego work environment where your ideas are valued and your contributions are visible

  • Direct exposure to cutting-edge work at the intersection of generative AI and large-scale recommendation systems

  • Flexible work arrangements (remote and hybrid options) and a healthy respect for work-life balance

$100,000 - $120,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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