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Remote Field Machinist Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... field or equivalent experience REMOTE WORK NOTICE: This position may be performed fully remote ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... field or equivalent experience REMOTE WORK NOTICE: This position may be performed fully remote ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

CIMA

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

You will report to the Director, Psychometrics & Research and this role is remote. You Will ... Experience with statistical/psychometric programming, machine learning, Natural Language Processing ...

Sika AG

Manufacturing Service & Repair Specialist

Raleigh, NC · On-site +1

$19 - $24.25/hr

... the field. This hands-on role is critical in ensuring our machines are reliable, safe, and ... While this is a remote position, candidates must reside (or relocate) in the East Coast region ...

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Remote Field Machinist information

See Raleigh, NC salary details

$5

$26

$32

How much do remote field machinist jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote field machinist in Raleigh, NC is $26.26, according to ZipRecruiter salary data. Most workers in this role earn between $23.85 and $29.90 per hour, depending on experience, location, and employer.

What is the difference between Remote Field Machinist vs Field Machinist?

AspectRemote Field MachinistField Machinist
CredentialsMachining certifications, technical skillsMachining certifications, technical skills
Work EnvironmentRemote locations, on-site at client sitesOn-site at industrial or construction sites
Industry UsageOil & gas, energy, manufacturingOil & gas, energy, manufacturing
Work ScopeMachining, equipment repair, maintenanceMachining, equipment setup, repair

The main difference between a Remote Field Machinist and a Field Machinist is the work setting. Remote Field Machinists often work at distant or hard-to-reach locations, providing specialized machining services on-site, while Field Machinists typically work directly at industrial sites. Both roles require similar skills and certifications, but their work environments and scope can differ based on location and project needs.

What are popular job titles related to Remote Field Machinist jobs in Raleigh, NC?

For Remote Field Machinist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Field Machinist jobs in Raleigh, NC look for?

The top searched job categories for Remote Field Machinist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Field Machinist jobs?

Cities near Raleigh, NC with the most Remote Field Machinist job openings:

Remote Field Machinist jobs near you
Infographic showing various Remote Field Machinist job openings in Raleigh, NC as of June 2026, with employment types broken down into 50% Full Time, 40% Part Time, and 10% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $54,630 per year, or $26.3 per hour.

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Re-posted 23 days ago

Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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