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Logistics Artificial Intelligence Jobs (NOW HIRING)

Varsity Tutors

Artificial Intelligence (AI) Tutor

FL · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

MN · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

GA · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ...

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Logistics Artificial Intelligence information

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How much do logistics artificial intelligence jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for logistics artificial intelligence in the United States is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Logistics Artificial Intelligence Specialist, and why are they important?

To thrive as a Logistics Artificial Intelligence Specialist, you need a strong background in logistics operations, data analysis, and AI/machine learning principles, often supported by a relevant degree in computer science, engineering, or supply chain management. Familiarity with programming languages (such as Python or R), AI frameworks (like TensorFlow or PyTorch), and logistics management systems (TMS, WMS, ERP) is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for designing innovative solutions and collaborating with cross-functional teams. These skills are crucial for leveraging AI to optimize supply chain processes, drive efficiency, and maintain a competitive edge in logistics operations.

How does a Logistics Artificial Intelligence specialist typically collaborate with other departments within a supply chain organization?

A Logistics Artificial Intelligence specialist often works closely with teams such as operations, IT, procurement, and customer service to implement AI-driven solutions that improve efficiency and accuracy. They may analyze data provided by operations managers, coordinate with IT for system integration, and communicate insights to decision-makers to optimize routes, inventory, and delivery processes. Effective collaboration is key, as the specialist must understand the needs and workflows of each department to tailor AI models that address real-world logistics challenges. Regular meetings, cross-functional project teams, and clear communication channels are common practices in this role.

What is the difference between Logistics Artificial Intelligence vs Logistics Data Analyst?

AspectLogistics Artificial IntelligenceLogistics Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI and machine learningDegree in Data Analytics, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven logistics companies, AI development teams, automation projectsLogistics firms, supply chain departments, data analysis teams
Employer & Industry UsageUsed to develop predictive models, optimize routes, automate decision-makingUsed to interpret data, generate reports, support operational decisions

While both roles involve working with data in logistics, Logistics Artificial Intelligence focuses on developing AI systems and algorithms to automate and optimize logistics processes. In contrast, Logistics Data Analysts interpret data to inform decisions but do not typically develop AI models. Both roles are essential in modern supply chain management but serve different functions within the industry.

What are Logistics Artificial Intelligence jobs?

Logistics Artificial Intelligence jobs involve applying AI technologies to optimize and automate logistics processes such as supply chain management, inventory tracking, route planning, and demand forecasting. Professionals in this field work on developing, implementing, and managing AI-driven solutions that improve efficiency, reduce costs, and enhance decision-making in logistics operations. These roles can include AI engineers, data scientists, machine learning specialists, and logistics analysts who specialize in AI applications. The growing use of AI in logistics is transforming how goods are transported, stored, and delivered across industries.
More about Logistics Artificial Intelligence jobs
What cities are hiring for Logistics Artificial Intelligence jobs? Cities with the most Logistics Artificial Intelligence job openings:
What states have the most Logistics Artificial Intelligence jobs? States with the most job openings for Logistics Artificial Intelligence jobs include:
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Logistics Artificial Intelligence jobs near you
Infographic showing various Logistics Artificial Intelligence job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $45,453 per year, or $21.9 per hour.
Artificial Intelligence Specialist

Artificial Intelligence Specialist

FastTek

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Artificial Intelligence Specialist #1054782
Job Description:
  • Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming

Key Responsibilities:
  • Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
  • Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
  • Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
  • Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:
  • Artificial Intelligence & Expert Systems
  • Machine Learning
  • Data Science
  • Data Modeling
  • Software Development Lifecycle

Experience Required:
  • Specialist Exp: 5+ experience in relevant field

Experience Preferred:
Minimum Requirements:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • 3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade solutions in large enterprise environments.
  • Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher).
  • Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs.
  • Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns
  • Strong analytical, problem-solving, and critical thinking skills.
  • Exceptional communication, interpersonal skills, and stakeholder management skills.

Preferred Qualifications:
  • AI-SDLC Experience: Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis).
  • Requirement Engineering: Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation.
  • Knowledge Graph: Understanding semantic ontologies and how they enable advanced analytics.
  • COTS Integration: Experience integrating COTS AI solutions into an enterprise tech stack.
  • Supply Chain Domain Knowledge: Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Master's Degree

Additional Information:
  • Business Requirement Gathering: Partner with supply chain functional leads to elicit and document business requirements and translate them into technical specifications for AI-driven decision support tools, ensuring every solution delivers measurable business value.
  • Model Integration & Deployment: Act as the primary technical lead for applied AI implementation. Take pre-developed models from internal partners or 3rd-party vendors (COTS) and successfully deploy them within the supply chain GCP space.
  • Graph-Based AI Implementation: Work closely with Knowledge Graph engineering teams to map model inputs/outputs to enterprise ontologies. Execute model inference against graph data to provide prescriptions for N-tier supplier risk and material movement.
  • AI-Driven SDLC Execution: Champion and implement AI-assisted development practices. Use LLM-based tools (e.g., GitHub Copilot, automated PR agents, and AI-generated documentation) to accelerate delivery and ensure high code quality.
  • Pipeline & MLOps Engineering: Design the "connective tissue" between Knowledge Graph updates and model inference engines. Maintain automated pipelines that ensure decision-support tools are always powered by the most current data.
  • Technical Standardization: Develop reusable integration patterns and data contracts to ensure that AI solutions can be scaled across multiple business units without redundant engineering effort.

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.