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Remote Process Safety Engineer Jobs in Raleigh, NC

City of Durham, NC

Principal Engineer

Durham, NC · On-site +1

$85K - $132K/yr

... with benefits Remote Employment: Flexible/Hybrid Job Number: 26-05862 Department: Planning ... safety and operational processes; and assists with preparing applications for and managing grants.

City of Durham, NC

Principal Engineer

Durham, NC · On-site +1

$85K - $132K/yr

... with benefits Remote Employment: Flexible/Hybrid Job Number: 26-05927 Department: Planning ... safety and operational processes; and assists with preparing applications for and managing grants.

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Remote Process Safety Engineer information

See Raleigh, NC salary details

$37.4K

$110K

$152.6K

How much do remote process safety engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote process safety engineer in Raleigh, NC is $110,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $125,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Process Safety Engineer vs Remote Environmental Health and Safety (EHS) Specialist?

AspectRemote Process Safety EngineerRemote Environmental Health and Safety (EHS) Specialist
CredentialsEngineering degree, safety certifications (e.g., CSP, PE)Environmental or safety certifications (e.g., ASP, CSP)
Work EnvironmentIndustrial plants, chemical facilities, remote safety assessments
Industry UsageOil & gas, chemical manufacturing, petrochemicals
Job FocusProcess hazard analysis, safety protocols, risk mitigation

The Remote Process Safety Engineer primarily focuses on analyzing and managing process hazards in industrial settings, ensuring safety protocols are followed. In contrast, the Remote EHS Specialist handles broader environmental and safety compliance, often covering workplace safety, environmental regulations, and employee health. Both roles require safety certifications and are vital in industrial industries, but their core responsibilities differ in scope and focus.

What is a Remote Process Safety Engineer?

A Remote Process Safety Engineer is a professional who works from a location outside of a traditional office or industrial site to manage and improve the safety of chemical, manufacturing, or other process-driven operations. They analyze processes, assess risks, develop safety protocols, and ensure compliance with safety regulations, often using digital tools and remote communication. Their responsibilities may include conducting hazard analyses, reviewing safety procedures, and supporting incident investigations. By working remotely, they can collaborate with teams across multiple sites, providing expertise without being physically present at each location.

What are the key skills and qualifications needed to thrive as a Remote Process Safety Engineer, and why are they important?

To thrive as a Remote Process Safety Engineer, you need a solid background in chemical or process engineering, risk assessment, and regulatory compliance, typically supported by a relevant engineering degree and professional certification (such as CSP or PE). Familiarity with process safety management (PSM) software, hazard analysis tools (like HAZOP or LOPA), and remote collaboration platforms is essential. Strong analytical thinking, attention to detail, and effective virtual communication skills set top performers apart in this role. These competencies are crucial for identifying and mitigating safety risks, ensuring regulatory compliance, and successfully collaborating with remote teams to protect people, assets, and the environment.

How does a Remote Process Safety Engineer effectively collaborate with on-site teams to ensure safety compliance?

As a Remote Process Safety Engineer, regular communication with on-site teams is essential to oversee safety protocols and process improvements. This typically involves participating in virtual meetings, reviewing documentation, and using digital tools to monitor safety performance. Building strong relationships with local engineers and operators helps ensure that recommendations are implemented correctly. Despite working remotely, site visits may occasionally be required for audits or critical assessments, and clear, proactive communication is key to overcoming the remote work challenges.
What are the most commonly searched types of Process Safety Engineer jobs in Raleigh, NC? The most popular types of Process Safety Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Process Safety Engineer jobs in Raleigh, NC? For Remote Process Safety Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Process Safety Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Process Safety Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Process Safety Engineer jobs? Cities near Raleigh, NC with the most Remote Process Safety Engineer job openings:
Remote Process Safety Engineer jobs near you
Infographic showing various Remote Process Safety Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 4% As Needed, 57% Full Time, 21% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,009 per year, or $52.9 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Durham, NC • Remote

Other

Posted 27 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply