Remote Industrial Engineer (Manufacturing)

Turing Enterprises, Inc.; Seattle (WA); Teletrabalho; USD 55 000 - 83 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote work environment

Contractor assignment

Resumo da oferta

Turing Enterprises, Inc. is seeking an Industrial Engineer/Operations Analyst contractor to help evaluate and optimize AI-assisted production processes in real‑world settings.

The role focuses on designing production problems, documenting workflow solutions, and assessing AI insights, with a fully remote US-based freelance arrangement for about 1 month, with potential extension.

Qualificações

• 4+ years of experience in industrial/production engineering or operations analysis.

Responsabilidades

• 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).

Conhecimentos

Industrial Engineering

Process Optimization

Data Analysis

Excel

Python

Formação académica

Bachelor's degree in Industrial Engineering

Bachelor's degree in Manufacturing Engineering

Bachelor's degree in Operations Management

Bachelor's degree in Mechanical Engineering

Ferramentas

Excel

Minitab

Python

Descrição da oferta de emprego

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.