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Hourly Remote Machine Learning Engineer Jobs in Park Ridge, IL

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SDLC Engineer - AI Trainer

Chicago, IL · Remote

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects ...

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SDLC Engineer - AI Trainer

Elgin, IL · Remote

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects ...

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QA Engineer - AI Trainer

Aurora, IL · Remote

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects ...

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Hourly Remote Machine Learning Engineer information

See Park Ridge, IL salary details

$25.1K

$41.9K

$86.6K

How much do hourly remote machine learning engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for hourly remote machine learning engineer in Park Ridge, IL is $41,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What does an Hourly Remote Machine Learning Engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are the key skills and qualifications needed to thrive as an Hourly Remote Machine Learning Engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.
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What cities near Park Ridge, IL are hiring for Hourly Remote Machine Learning Engineer jobs? Cities near Park Ridge, IL with the most Hourly Remote Machine Learning Engineer job openings:
Hourly Remote Machine Learning Engineer jobs near you
Senior AI Software Engineer (Agentic Systems & LLM Applications) | W2 Only | REMOTE |

Senior AI Software Engineer (Agentic Systems & LLM Applications) | W2 Only | REMOTE |

Xlysi

Chicago, IL • Remote

$126K - $166K/yr

Other

Posted yesterday

Job description

Role Overview
We are seeking an experienced AI-focused Software Engineer to design, build, and scale intelligent applications powered by modern AI and large language models. This is not a Data Scientist role-we are looking for a strong software engineering professional with deep expertise in building production-grade AI systems, APIs, and distributed architectures.

Key Responsibilities

Design and develop Python-based APIs for AI-powered applications and services
Build and orchestrate agentic workflows using modern frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or LlamaIndex
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines
Develop scalable AI systems leveraging machine learning and deep learning frameworks
Integrate and manage vector databases (e.g., Pinecone, Weaviate, Chroma) for semantic search and memory
Architect and deploy applications across cloud platforms (AWS, GCP, Azure)
Apply domain-driven design (DDD) principles and build microservices architectures
Ensure code quality through strong use of object-oriented programming principles (inheritance, polymorphism) and proven design patterns
Collaborate cross-functionally to deliver robust, production-ready AI solutions

Required Qualifications

Strong experience in Python software development
Hands-on experience with LLM frameworks and orchestration tools (LangChain, LangGraph, AutoGen, etc.)
Solid understanding of RAG architectures and vector search systems
Experience working with machine learning frameworks such as TensorFlow or PyTorch
Proficiency in building and consuming RESTful APIs
Experience with cloud infrastructure (AWS, GCP, or Azure)
Strong knowledge of microservices architecture and domain-driven design
Deep understanding of object-oriented programming concepts and software design patterns

Preferred Qualifications

Experience building agent-based or autonomous AI systems
Familiarity with real-time AI applications and streaming architectures
Experience optimizing AI systems for performance and scalability
Exposure to MLOps practices and deployment pipelines

What Success Looks Like

You deliver scalable, production-grade AI systems, not prototypes
You can design complex agentic workflows that solve real business problems
You write clean, maintainable, and well-architected code
You bridge the gap between AI capabilities and software engineering excellence

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About Xlysi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Princeton Junction, NJ, US

Year founded

2006

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