Industrial Engineer, Operations Analyst

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.

APPLY : https://developers.turing.com/r/zv6YE1qcMv