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Remote Machine Tool Instructor Jobs in Missouri (NOW HIRING)

You'll work closely with experienced engineers in a remote, collaborative environment where ... Demonstrated experience taking a machine learning model from raw data through experimentation and ...

$97K - $132K/yr

... tool suite * Research, test and advise on new technology and security requirements * Design ... Hands-on experience implementing and supporting enterprise secrets management and machine identity ...

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 the most commonly searched types of Machine Tool Instructor jobs in Missouri?

The most popular types of Machine Tool Instructor jobs in Missouri are:

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

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

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

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

Research Engineer (Reinforcement Learning)

Jobgether

Remote

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Research Engineer (Reinforcement Learning) based in Netherlands.

Join a small, senior engineering team building the next generation of voice- and text-driven AI agents.
You'll focus on post-training models to make agents more capable, reliable, and effective over long-running interactions.
Your work will span environments, verifiers, synthetic data, training experiments, evaluations, and production deployment.
You'll tackle challenging problems such as persistent context, reliable tool use, and multi-turn agent behavior.
The role combines hands-on research and engineering, with a strong emphasis on measurable improvements in model performance.
You'll work closely with experienced engineers in a remote, collaborative environment where technical craft and creativity are highly valued.
Your contributions will directly shape AI systems operating at significant production scale.

Accountabilities
  • Build training environments, verifiers, and supporting infrastructure for post-training models.
  • Own the synthetic data pipeline from data generation through quality assurance and validation.
  • Run end-to-end training experiments, analyze results, and clearly identify the factors driving model improvements.
  • Design and maintain evaluations that models must pass before production releases.
  • Select and adapt suitable open-weight foundation models for specific agent and product requirements.
  • Develop trained behaviors that perform consistently across both voice and text-based agents.
  • Deploy trained models to production and continuously improve them based on real-world usage and feedback.
  • Develop robust approaches to long-horizon interactions, accumulated context, and reliable tool use during live conversations.
Requirements:
  • Strong Python engineering skills and the ability to build reliable, production-quality systems.
  • Demonstrated experience taking a machine learning model from raw data through experimentation and into production.
  • A strong data-centric mindset, with attention to coverage, diversity, quality, and data leakage.
  • The ability to anticipate reward exploitation and design robust rewards, verifiers, and evaluation mechanisms.
  • Practical experience working with GPUs and a realistic understanding of their capabilities and limitations.
  • Strong judgment around when model training is the right solution-and when a simpler approach is preferable.
  • Ability to collaborate effectively within a remote, distributed, and highly autonomous team.
  • Experience with post-training techniques such as fine-tuning, reward design, or reinforcement learning, including approaches such as GRPO, is highly desirable.
  • Familiarity with RL and fine-tuning frameworks such as TRL, verl, OpenRLHF, or custom training loops is a plus.
  • Experience with technologies such as vLLM or SGLang for fast rollouts and FSDP for multi-GPU training is advantageous.
  • Experience training tool-using or multi-turn agents, as well as building execution sandboxes, verifiers, evaluation harnesses, or developer tooling, is valuable.
  • Familiarity with open-weight model families such as Qwen or Llama and techniques such as LoRA is a plus.
Benefits:
  • Opportunity to make a significant impact on a fast-growing developer platform and help shape its future.
  • Collaboration with a small, highly experienced team that values technical excellence, creativity, and ownership.
  • Competitive salary and equity package.
  • Health, dental, and vision benefits.
  • Flexible vacation policy.
  • Remote-friendly working environment with flexibility and autonomy.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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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