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Artificial Intelligence Machine Learning Remote Jobs

Cloud Engineer - Azure

Fort Myers, FL ยท On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... for artificial intelligence, machine learning, and cognitive computing initiatives. If youre ...

Whether that's a machine learning model that improves audience targeting, a generative AI tool ... D.) in Computer Science, Artificial Intelligence, Data Science, or a related field; equivalent ...

$14.75 - $19.75/hr

... on remote work at Penn State, seeNotice to Out of State Applicants. AND POSITION REQUIREMENTS We are seeking graduate students with artificial intelligence/ machine learning (AI/ML) experience to ...

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... Bachelor's degree or higher in Computer Science, Engineering, Data Science, Artificial Intelligence ...

Research Engineer

Dallas, TX ยท On-site +1

$122K - $215K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Research Engineer

Dallas, TX ยท On-site +1

$122K - $215K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Research Engineer

Dallas, TX ยท On-site +1

$122K - $215K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Artificial Intelligence (AI) Tutor

FL ยท Remote

$18 - $40/hr

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery ... Deep knowledge of machine learning algorithms, neural networks, natural language processing ...

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Artificial Intelligence Machine Learning Remote information

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$25.5K

$42.6K

$88K

How much do artificial intelligence machine learning remote jobs pay per year?

As of Jul 7, 2026, the average yearly pay for artificial intelligence machine learning remote in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote Artificial Intelligence/Machine Learning professionals, and how can they be addressed?

Remote AI/ML professionals often encounter challenges such as effective collaboration with cross-functional teams, maintaining clear communication on complex technical topics, and accessing necessary computational resources. These can be addressed by leveraging collaborative tools (like Slack, GitHub, and Zoom), establishing regular check-ins with colleagues, and utilizing cloud-based platforms for scalable computing. Proactively sharing progress and blockers also helps ensure alignment and project momentum, making remote work both productive and engaging.

What are Artificial Intelligence Machine Learning remote jobs?

Artificial Intelligence (AI) Machine Learning (ML) remote jobs are positions where professionals work from home or any location outside a traditional office to develop, implement, and improve AI and ML systems. These roles typically involve building algorithms, analyzing data, training models, and deploying solutions for various applications such as natural language processing, computer vision, or predictive analytics. Remote AI/ML jobs offer flexibility and often require strong programming skills, knowledge of data science, and experience with frameworks like TensorFlow or PyTorch. Employers may range from tech companies to startups, research institutions, and consultancies. The demand for remote AI/ML professionals continues to grow as more organizations embrace digital transformation.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence/Machine Learning Engineer working remotely, and why are they important?

To thrive as an Artificial Intelligence/Machine Learning Engineer in a remote role, you need strong programming skills (especially in Python or R), a solid understanding of algorithms and statistics, and typically a degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms (like AWS or Azure), and familiarity with version control systems (e.g., Git) are crucial. Excellent problem-solving abilities, self-motivation, and clear written communication help remote engineers collaborate effectively and drive projects forward. These skills ensure technical competence, productivity, and seamless teamwork in a distributed work environment.
More about Artificial Intelligence Machine Learning Remote jobs
What cities are hiring for Artificial Intelligence Machine Learning Remote jobs? Cities with the most Artificial Intelligence Machine Learning Remote job openings:
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs? The most popular types of Artificial Intelligence Machine Learning jobs are:
What states have the most Artificial Intelligence Machine Learning Remote jobs? States with the most job openings for Artificial Intelligence Machine Learning Remote jobs include:
Infographic showing various Artificial Intelligence Machine Learning Remote job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Artificial Intelligence Specialist

Artificial Intelligence Specialist

FastTek

Dearborn, MI โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 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.