Talantix.io
Keystone Recruitment•31.01.26
AI SCORE 8.5

Industrial Engineer - Remote Position

$70–$110/
RemoteAI/Big DataWW
Industrial Engineering•AI•Machine Learning•Project Management•Communication

About the Role

We are hiring an Industrial Engineer (Remote) to join our team at Keystone Recruitment. This role offers an exciting opportunity to work with a leading AI lab, focusing on advancing research and infrastructure for next-generation machine learning systems. As an Industrial Engineer (Remote), you will diagnose and solve practical issues within your domain while contributing your expertise to cutting-edge AI research.

What You'll Do

  • Create deliverables related to common requests within your professional domain.
  • Review peer-developed deliverables to improve AI research outputs.
  • Collaborate with a team of engineers and researchers to enhance project outcomes.
  • Work independently while maintaining effective communication with stakeholders.
  • Adapt to changing project needs and timelines.

Requirements

  • 4+ years of professional experience in industrial engineering.
  • Excellent written communication skills with strong grammar and spelling.
  • Ability to work independently and manage time effectively.
  • Familiarity with AI and machine learning concepts is a plus.
  • Legal eligibility to work as an independent contractor in your jurisdiction.

Nice to Have

  • Experience in remote work environments.
  • Knowledge of project management tools.
  • Previous experience in AI-related projects.

What We Offer

  • Fully remote and flexible schedule.
  • Competitive hourly rate of USD 70-110.
  • Expected workload of approximately 30 hours per week, with flexibility to scale up to 40 hours.
  • Weekly payments via Stripe or Wise.
  • Inclusive hiring practices with reasonable accommodations provided upon request.
Why This Job8.5 of 10

This remote Industrial Engineer position offers a competitive hourly rate and the chance to work on innovative AI projects. Flexible hours make it an attractive opportunity.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Keystone Recruitment

Explore Keystone Recruitment careers in 2026 and discover a wide range of job openings, including remote, hybrid, and office roles. Utilize our advanced filters, application tracking, and company insights to find your perfect fit. With tailored resumes and detailed vacancy scores, unlock exciting career opportunities at Keystone Recruitment and take the next step in your professional journey today.

Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficient in using simulation software such as AnyLogic or Arena for modeling industrial systems and processes, enabling data-driven decision-making in AI and machine learning projects.

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Demonstrates a self-motivated and proactive work style suitable for remote collaboration, effectively managing time and prioritizing tasks while maintaining clear communication with team members across different time zones.

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Possesses a growth mindset with at least 3-5 years of experience in industrial engineering, emphasizing continuous learning in AI and machine learning applications to enhance operational efficiencies.

Learning Resources

→Industrial Engineering Basicscourse
→Machine Learning for Engineersarticle
→AI and Machine Learning in Industrial Engineeringcourse

Career Path

Industrial Engineer - Remote Position(Now)→Project Manager - AI Infrastructure(1-2 years)→Senior Industrial Engineer - AI/ML Systems(3-5 years)

Market Overview

Market Size 2024
$83B
Annual Growth
8.5%
AI Adoption in Industrial Engineering
45%
Investment in AI & ML Technologies
+200%
Labour Demand for Industrial Engineers
+15%
Avg Salary for Industrial Engineers
$85K

Skills & Requirements

Required
Industrial EngineeringAIMachine Learning
Growing in Demand
Data AnalyticsRobotics Process Automation (RPA)Supply Chain Optimization
Declining
Traditional Statistical Process ControlManual Data Entry

Domain Trends

Increased Automation
The integration of AI and automation technologies in industrial processes is expected to increase by 35% by 2025, enhancing efficiency and reducing operational costs.
Sustainability Focus
Sustainable engineering practices are becoming critical, with 60% of companies prioritizing green engineering solutions to meet regulatory standards and consumer demand.
Digital Twin Technology Adoption
The use of digital twins in industrial engineering is projected to grow by 25% annually, enabling real-time monitoring and predictive maintenance.

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