Remote Production & Operations Supervisors (Manufacturing)

Turing Enterprises, Inc.; San Francisco (CA); Remote; USD 41,000 - 83,000; Part time

Benefits offered by this job

Fully remote work

Contractor assignment

Potential extension

Job summary

Turing is seeking professionals with strong experience in manufacturing operations and frontline leadership to contribute on AI system evaluation projects. This role emphasizes production management expertise and does not require prior AI experience.

Projects involve exploring how AI can improve decision-making, process efficiency, and coordination across manufacturing environments. The assignment is freelance, fully remote, with projects typically lasting around one month and potential

Qualifications

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

Responsibilities

• Design real-world production and operations scenarios to test AI reasoning.
• Write structured solutions covering scheduling, production control, process optimization and quality assurance.
• Evaluate AI outputs for accuracy, clarity and alignment with manufacturing standards.
• Collaborate with researchers to refine AI understanding of factory workflows and lean practices.

Skills

Production supervision

Operations leadership

Lean manufacturing

Team coordination

Tools

Web-based data review

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.