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Remote Metallurgical Engineer Jobs (NOW HIRING)

Huzzle

AI Engineer - Remote

You'll work closely with product, engineering, and data teams to create intelligent systems that ... Experience working in remote or distributed teams is a plus. Benefits Competitive salary based on ...

Oklo

Fuel Performance Engineer

Santa Clara, CA · On-site +1

$120K - $165K/yr

Familiarity with metallic fuels * Experience with fuel analysis and fuel performance software (e.g ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

Huzzle

AI Engineer - Remote

You will work closely with product, engineering, and data teams to design intelligent systems ... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ...

Aurubis AG

Aurubis - metallurgy is our passion. We are a leading global multi-metal company and one of the ... Liaise with internal stakeholders, including production teams, engineers, sustainability teams, and ...

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Remote Metallurgical Engineer information

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$33K

$94K

$145.5K

How much do remote metallurgical engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote metallurgical engineer in the United States is $94,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $108,500.00 per year, depending on experience, location, and employer.

How do Remote Metallurgical Engineers effectively collaborate with on-site teams and laboratories?

Remote Metallurgical Engineers typically rely on digital communication tools, such as video conferencing and collaborative platforms, to stay connected with on-site teams and laboratory staff. They often participate in regular virtual meetings to review project progress, analyze test results, and address technical challenges. Sharing detailed documentation, test protocols, and data files electronically is common, ensuring all team members have access to the necessary information. Building strong communication habits and being proactive about follow-ups are key for remote engineers to maintain alignment and contribute effectively to project goals.

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

To thrive as a Remote Metallurgical Engineer, you need a solid background in metallurgy or materials science, typically supported by a relevant engineering degree and experience in metals processing or analysis. Familiarity with simulation software (such as Thermo-Calc or ANSYS), data analysis tools, and knowledge of industry standards and certifications like Professional Engineer (PE) licensure are often required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and delivering actionable insights. These competencies ensure accurate materials evaluations, efficient remote teamwork, and successful project outcomes in metallurgical engineering.

What are remote metallurgical engineers?

Remote metallurgical engineers are professionals who analyze, develop, and optimize metals and alloys, working primarily from off-site locations using digital tools and communication platforms. They may be involved in materials testing, failure analysis, process improvement, and quality assurance, collaborating with teams and clients virtually. This role often requires strong problem-solving skills, expertise in materials science, and the ability to interpret data remotely. Remote metallurgical engineers can work in industries such as manufacturing, aerospace, energy, and consulting, performing most of their tasks without being physically present at production sites.

What is the difference between Remote Metallurgical Engineer vs Remote Materials Scientist?

AspectRemote Metallurgical EngineerRemote Materials Scientist
CredentialsBachelor's or Master's in Metallurgy, Materials Science, or related fields; certifications like ASM or NACEBachelor's or Master's in Materials Science, Chemistry, or Physics; similar certifications
Work EnvironmentDesigning and testing metals, overseeing manufacturing processes, analyzing material propertiesResearching material behaviors, developing new materials, analyzing samples in labs or remotely
Industry UsageMining, manufacturing, aerospace, automotiveResearch institutions, R&D departments, manufacturing innovation

Remote Metallurgical Engineers focus on metal properties and manufacturing processes, while Remote Materials Scientists emphasize research and development of new materials. Both roles require similar education and certifications, but their daily tasks and industry applications differ.

More about Remote Metallurgical Engineer jobs
What cities are hiring for Remote Metallurgical Engineer jobs? Cities with the most Remote Metallurgical Engineer job openings:
What are the most commonly searched types of Metallurgical Engineer jobs? The most popular types of Metallurgical Engineer jobs are:
What states have the most Remote Metallurgical Engineer jobs? States with the most job openings for Remote Metallurgical Engineer jobs include:
What job categories do people searching Remote Metallurgical Engineer jobs look for? The top searched job categories for Remote Metallurgical Engineer jobs are:
Remote Metallurgical Engineer jobs near you
Infographic showing various Remote Metallurgical Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $94,030 per year, or $45.2 per hour.

AI Engineer - Remote

Huzzle

Remote

Full-time

Re-posted 14 hours ago

Job description

About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency.
This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems.
Key Responsibilities
  • Design, develop, and deploy AI and machine learning models for real-world applications.
  • Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs.
  • Develop scalable APIs and backend services for AI applications.
  • Fine-tune machine learning models and improve model performance.
  • Work with structured and unstructured datasets for training and inference.
  • Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
  • Integrate AI solutions into web platforms, CRMs, and business systems.
  • Monitor AI model performance, reliability, and scalability in production.
  • Collaborate with cross-functional teams to define AI product requirements and technical roadmaps.
  • Stay updated on emerging AI technologies, frameworks, and best practices.

Requirements
  • 3+ years of experience in AI engineering, machine learning, or software engineering.
  • Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
  • Experience working with LLMs, generative AI tools, and prompt engineering.
  • Familiarity with vector databases, embeddings, and RAG architectures.
  • Knowledge of cloud platforms such as AWS, GCP, or Azure.
  • Experience building REST APIs and scalable backend systems.
  • Understanding of MLOps, model deployment, and monitoring workflows.
  • Strong problem-solving and analytical thinking skills.
  • Excellent communication and collaboration abilities.
  • Experience working in remote or distributed teams is a plus.

Benefits
Competitive salary based on experience and location
Fully remote role with flexible work environment
Work on cutting-edge AI automation projects with real business impact
Strong growth opportunity into senior AI / systems roles
Exposure to LLMs, prompt engineering, and scalable AI system design
Direct collaboration with a fast-moving, high-performance team

Apply