Industrial Engineers
Micro1 • Remote • Posted 77 days ago
Education
Any
Type
Pay Rate
$86.5/task
Posted
77d ago
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Job Summary
Join our customer's team as an Industrial Engineer and play a pivotal role in training next-generation AI models. This unique opportunity empowers you to leverage your expertise in optimizing industrial production systems, refining processes, and enhancing operational efficiency—all while contributing to innovative artificial intelligence solutions. Collaborate with cross-functional experts and help shape the future of smart manufacturing technologies.
Key Responsibilities
Design, develop, and evaluate integrated systems to manage industrial production processes, optimizing efficiency, quality, and cost. Apply data analysis and statistical techniques to identify improvement areas and drive data-informed decision-making. Own performance metrics related to quality and cost optimization, ensuring continuous improvement across production workflows. Facilitate effective cross-functional communication to implement process changes and best practices. Engineer systems to enhance human work factors, resource allocation, logistics, and material flow. Document detailed process flows and standard operating procedures for AI training datasets. Collaborate with AI development teams to translate industrial knowledge into actionable AI model training data.
Required Skills and Qualifications
Bachelor’s degree or higher in Industrial Engineering or a related field. Minimum 4 years of hands-on experience in industrial engineering or process optimization roles. Proficiency in quality control, cost analysis, and performance metric ownership within a production environment. Strong analytical skills and experience with statistical data analysis tools. Demonstrated ability to design and improve complex systems and processes. Exceptional written and verbal communication skills, with meticulous attention to detail. Proven success working remotely and collaborating across multidisciplinary teams.
Preferred Qualifications
Experience in training or developing AI/ML solutions related to industrial applications. Familiarity with digital transformation projects or smart manufacturing initiatives. Advanced certifications in Lean, Six Sigma, or other process improvement methodologies.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Key Responsibilities
- Design, develop, and evaluate integrated systems to manage industrial production processes, optimizing efficiency, quality, and cost.
- Apply data analysis and statistical techniques to identify improvement areas and drive data-informed decision-making.
- Own performance metrics related to quality and cost optimization, ensuring continuous improvement across production workflows.
- Facilitate effective cross-functional communication to implement process changes and best practices.
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($86.5/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
Skills & Categories
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
Is this just labeling data?
No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.
Do I need a PhD?
For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
Is the work continuous?
Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.