Talantix.io
Keystone Recruitment•01.02.26
AI SCORE 8.2

Remote Industrial Engineer - AI Research Support

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

About the Role

We are seeking a Remote Industrial Engineer to join our team and support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This role offers a unique opportunity to work independently while contributing your expertise to cutting-edge AI research.

What You'll Do

  • Create deliverables related to common requests within your professional domain as a Remote Industrial Engineer.
  • Review peer-developed deliverables to improve AI research outputs.
  • Engage in diagnosing and solving practical issues within your domain.
  • Collaborate with a team of experts while working remotely.
  • Manage your workload with flexibility, expected to work around 30 hours per week, with the potential to scale up to 40 hours.

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 in a remote setting.
  • Experience with AI systems or machine learning is a plus.

Nice to Have

  • Familiarity with project management tools.
  • Previous experience in a research environment.
  • Knowledge of data analysis and statistical methods.

What We Offer

  • Competitive hourly rate of USD 70-110.
  • Fully remote work with a flexible schedule.
  • Weekly payments via Stripe or Wise.
  • Opportunity to work on innovative projects in AI.
  • Inclusive hiring practices with accommodations provided upon request.
Why This Job8.2 of 10

This Remote Industrial Engineer position offers a competitive hourly rate and the chance to work on innovative AI research projects. Enjoy flexibility and independence.

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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Proficiency in data analysis tools such as Python and R, combined with a strong understanding of machine learning algorithms to effectively support AI research projects.

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Ability to work autonomously in a remote environment, demonstrating self-motivation and time management skills to balance multiple research tasks and project deadlines.

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Experience in project management methodologies, such as Agile or Scrum, to efficiently coordinate research activities and deliver results in a fast-paced AI development setting.

Learning Resources

→Introduction to Machine Learningcourse
→Data Analysis with Pythoncourse
→Industrial Engineering Overviewarticle

Career Path

Remote Industrial Engineer - AI Research Support(Now)→Industrial Engineering Project Manager(1-2 years)→Senior AI Research Engineer(3-5 years)

Market Overview

Market Size 2024
$450B
Annual Growth
7.5%
AI Adoption in Industrial Engineering
34%
Investment in AI Research
+120%
Labour Demand for Industrial Engineers
+15%
Avg Salary for AI Research Support Roles
$95K

Skills & Requirements

Required
Industrial EngineeringAI ResearchMachine Learning
Growing in Demand
Data Visualization (e.g., Tableau, Power BI)Advanced Statistical Analysis (e.g., R, Python)Cloud Computing (e.g., AWS, Azure)
Declining
Traditional Statistical Software (e.g., SPSS)Basic Excel Data Analysis

Domain Trends

Increased Automation in Manufacturing
Over 50% of manufacturers are adopting AI-driven automation technologies, leading to a greater need for engineers who can integrate these systems.
Data-Driven Decision Making
75% of organizations in the industrial sector are prioritizing data analytics to enhance operational efficiency, increasing demand for engineers skilled in data analysis.
Sustainability in Engineering Practices
A 40% increase in investment towards sustainable engineering practices is noted, pushing engineers to adopt AI solutions that minimize waste and improve resource efficiency.

Industry News

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