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Freelance Process Engineer Jobs in New York (NOW HIRING)

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Freelance Process Engineer information

See New York salary details

$54.2K

$100.7K

$155.9K

How much do freelance process engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for freelance process engineer in New York is $100,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $112,700.00 per year, depending on experience, location, and employer.

What is a freelance process engineer?

A Freelance Process Engineer is a professional who designs, optimizes, and troubleshoots industrial processes on a contract or project basis, rather than as a full-time employee. They work with companies in industries like manufacturing, pharmaceuticals, or energy to improve efficiency, safety, and productivity. Freelance Process Engineers often handle multiple clients, offering flexibility and specialized expertise for short-term or ongoing projects. They may be involved in process design, simulation, equipment selection, or regulatory compliance.

What are the key skills and qualifications needed to thrive as a freelance process engineer?

To thrive as a Freelance Process Engineer, a strong background in chemical or mechanical engineering, process optimization, and project management, often supported by a relevant engineering degree and professional certification, is essential. Familiarity with industry-standard tools such as AutoCAD, Aspen HYSYS, and process simulation software is typically required. Exceptional problem-solving, communication, and client management skills help freelancers stand out by effectively addressing client needs and adapting to diverse projects. These abilities enable the engineer to deliver efficient solutions, ensure client satisfaction, and maintain a competitive edge in the freelance marketplace.

How do freelance process engineers typically collaborate with client teams during projects?

Freelance Process Engineers often work closely with client teams by participating in regular virtual meetings, providing detailed progress updates, and integrating feedback to ensure alignment with project goals. Effective collaboration may require adapting to different communication styles and project management tools used by various organizations. Building strong professional relationships and being proactive in clarifying expectations are key to overcoming challenges such as remote integration and limited onsite presence. This collaborative approach helps ensure successful project delivery and client satisfaction.

What is the difference between Freelance Process Engineer vs Process Engineer?

AspectFreelance Process EngineerProcess Engineer
CredentialsRelevant engineering degree, certifications optionalEngineering degree, professional certifications often preferred
Work EnvironmentIndependent, project-based, remote or on-siteFull-time, employed by a company, on-site or hybrid
Employer & Industry UsageClients across industries, contract-basedManufacturing, chemical, or industrial firms
Search & Comparison IntentFreelance Process Engineer vs Process EngineerFreelance Process Engineer vs Process Engineer

While both roles focus on optimizing processes, a Freelance Process Engineer works independently on various client projects, often remotely, and may lack the full-time employment benefits. A Process Engineer is typically employed full-time within a company, focusing on ongoing process improvements in a specific industry. The choice depends on your preference for independence versus stability.

Are freelance process engineers in high demand?

Freelance process engineers are in increasing demand due to the need for specialized expertise in optimizing manufacturing and industrial processes. Their skills in process analysis, project management, and familiarity with tools like CAD and simulation software make them valuable for companies seeking flexible, cost-effective solutions. Demand varies by industry and region but generally remains strong as companies focus on efficiency and innovation.

Can a freelance process engineer work from home?

A freelance process engineer can often work from home, especially if their projects involve designing processes, analyzing data, or creating documentation that can be done remotely. However, some tasks may require on-site visits or collaboration with manufacturing teams, depending on the project requirements and client needs.

What are the most commonly searched types of Process Engineer jobs in New York?

The most popular types of Process Engineer jobs in New York are:

What are popular job titles related to Freelance Process Engineer jobs in New York?

For Freelance Process Engineer jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Freelance Process Engineer jobs?

Cities in New York with the most Freelance Process Engineer job openings:

Infographic showing various Freelance Process Engineer job openings in New York as of June 2026, with employment types broken down into 70% Full Time, 12% Part Time, 6% Temporary, and 12% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $100,670 per year, or $48.4 per hour.

Remote Industrial Engineer (Manufacturing)

Turing

Manhattan, NY • Remote

$100 - $150/hr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Turing is looking for candidates with strong experience in operations optimization, production systems, and process improvement.

Role overview:
  • In this role, you will contribute to projects that help evaluate and enhance AI systems using your industrial engineering expertise and analytical reasoning skills.
  • No prior AI experience is required.
  • These projects will help you explore how AI can be leveraged to improve decision-making, workflow analysis, and process automation in manufacturing and operations environments.

What does day-to-day look like:
  • Design and solve real-world industrial and production engineering problems to test AI reasoning.
  • Write clear, structured solutions covering workflow design, production planning, lean principles, and quality control.
  • Evaluate AI responses for accuracy, analytical soundness, and operational insight.
  • Collaborate with researchers to refine AI understanding of process optimization, supply chain management, and continuous improvement methodologies (e.g., Six Sigma, Lean Manufacturing).

Requirements:
  • 4+ years of experience as an Industrial Engineer, Process Engineer, or Operations Analyst.
  • Candidates must be currently pursuing (or have obtained) a Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Operations Management, or Mechanical Engineering.
  • Proficiency in data analysis tools (Excel, Minitab, or Python) and familiarity with process mapping, workflow design, and optimization techniques.
  • Strong English communication and reasoning skills.
  • Comfortable using web-based tools for data review and annotation.

Perks of freelancing with Turing & offer details:
  • Strong compensation (exact amount varies by project).
  • Fully remote work environment.
  • Engagement type: Contractor assignment/freelancer, potentially full-time.
  • Duration of projects: approximately 1 month, with the possibility for extension.

What Turing is NOT seeking from your expertise:
  • Confidential or proprietary information from any employer, university, etc.
  • Trade secrets or internal company or university data.
  • Specific client information or case details.
  • Any information that would violate NDAs, employment agreements or other confidentiality obligations.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.