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Supervisor Operations Refinery Jobs (NOW HIRING)

Archer Daniels Midland

Refinery Superintendent - Lincoln, NE This is a salaried-exempt position. Position Description: The ... Interacts directly with Shift Supervisors to produce desired operational results and employee ...

Clean Harbors

Facility Operations Supervisor

Reidsville, NC · On-site

$39K - $111K/yr

The Facility Operations Supervisor will be responsible for the supervision of plant personnel and ... We collect over 200 million gallons of used motor oil each year and we have the largest re-refinery ...

ADM

Refinery Superintendent - Lincoln, NE

Lincoln, NE

$92K - $173K/yr

Refinery Superintendent - Lincoln, NEThis is a salaried-exempt position.Position Description:The ... Interacts directly with Shift Supervisors to produce desired operational results and employee ...

Sunshine Minting

Refinery Operator

Coeur D Alene, ID · On-site

... power tools and operation of equipment as necessary * Must be able to lift at least 35 lbs ... Must be able to properly communicate with co-workers and Supervisors * Must be organized, able to ...

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All JobsManufacturing JobsProduct Manufacturing JobsProcess Manager JobsSupervisor Operations Refinery Jobs

Supervisor Operations Refinery information

See salary details

$31K

$63.5K

$118.5K

How much do supervisor operations refinery jobs pay per year?

As of Sep 13, 2026, the average yearly pay for supervisor operations refinery in the United States is $63,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $77,500.00 per year, depending on experience, location, and employer.

What is the difference between Supervisor Operations Refinery vs Process Technician?

AspectSupervisor Operations RefineryProcess Technician
CredentialsRelevant certifications, experience in refinery operationsTechnical certifications, technical training in process technology
Work EnvironmentSupervisory role overseeing refinery operationsHands-on technical work in processing units
Employer & Industry UsageRefineries, petrochemical plantsRefineries, chemical manufacturing facilities
Search & Comparison IntentUnderstanding supervisory roles in refineriesTechnical process roles in refinery operations

The Supervisor Operations Refinery oversees daily refinery activities, managing teams and ensuring safety and efficiency. In contrast, the Process Technician focuses on operating and maintaining processing equipment. Both roles require technical knowledge, but the supervisor has broader responsibilities in leadership and oversight, while the technician is more hands-on with equipment operation.

What states have the most Supervisor Operations Refinery jobs?

States with the most job openings for Supervisor Operations Refinery jobs include:

What are popular job titles related to Supervisor Operations Refinery jobs?

For Supervisor Operations Refinery jobs, the most frequently searched job titles are:

Infographic showing various Supervisor Operations Refinery job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $63,456 per year, or $30.5 per hour.

Remote Production & Operations Supervisors (Manufacturing)

Manhattan, NY • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

$100 - $150/hr

Contractor

Posted 20 days ago

Job description

Turing is looking for candidates with strong experience in manufacturing operations, production workflow management, and team supervision, particularly at the level expected for frontline production or operations leads.
Role overview:
  • In this role, you will contribute to projects that help evaluate and enhance AI systems using your production management and operational expertise.
  • No prior AI experience is required.
  • These projects will help you explore how AI can be used to improve decision-making, process efficiency, and operational coordination across manufacturing environments.

What does day-to-day look like:
  • Design and solve real-world production and operations scenarios to test AI reasoning.
  • Write clear, structured solutions covering workforce scheduling, production control, process optimization, and quality assurance.
  • Evaluate AI responses for accuracy, clarity, and alignment with manufacturing standards.
  • Collaborate with researchers to refine AI understanding of factory workflows, leadership decision-making, and lean manufacturing practices.

Requirements:
  • 4+ years of experience as a Production Supervisor, Operations Lead, or Manufacturing Team Lead.
  • Strong understanding of lean manufacturing, safety compliance, and process improvement principles.
  • Comfortable using web-based tools for data review and annotation.
  • Excellent English communication and ability to explain operational workflows and decisions clearly.

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.