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Remote Large Language Model Llm Jobs in Chicago, IL

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Candidates with experience in machine learning, large language models (LLMs), AI agents, and ... Exposure to modern AI agent and LLM technologies. * Flexible remote work environment. * Opportunity ...

Turing

Biology Specialist

Elk Grove Village, IL · Remote

$100 - $200/hr

Help fine-tune large language models (like ChatGPT) using your biology knowledge. You'll design ... Fully remote, flexible work. * Work on cutting-edge AI projects with leading LLM companies. Offer ...

Turing

Physics Specialist

Chicago, IL · Remote

$100 - $200/hr

Help fine-tune large language models (like ChatGPT) using your physics skills. You'll design ... Fully remote, flexible work. * Work on cutting-edge AI projects with leading LLM companies. Offer ...

Turing

Chemistry Specialist

Chicago, IL · Remote

$100 - $200/hr

Help fine-tune large language models (like ChatGPT) using your chemistry knowledge. You'll design ... Fully remote, flexible work. * Work on cutting-edge AI projects with leading LLM companies. Offer ...

Turing

Mathematics Specialist

Chicago, IL · Remote

$100 - $200/hr

Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You'll ... Fully remote, flexible work. * Work on cutting-edge AI projects with leading LLM companies. Offer ...

YO AI Labs

Dutch Bilingual Expert - Remote

Chicago, IL · Remote

$30 - $65/hr

Remote Job Overview We are seeking Dutch Bilingual Experts to contribute to a global language and ... language model improvement. No prior AI experience is required. Strong Dutch language expertise ...

Turing

Internal Medicine Specialist

Chicago, IL · Remote

$200 - $300/hr

... large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic ... Remote: Fully remote, collaborative environment. About Turing: Based in San Francisco, California ...

Turing

Gastroenteroloist

Chicago, IL · Remote

$200 - $300/hr

... large language models (like ChatGPT). Your deep understanding of GI diagnostics, endoscopic ... Remote: Fully remote, collaborative environment. About Turing: Based in San Francisco, California ...

Turing

Hematologist

Chicago, IL · Remote

$200 - $300/hr

... tune large language models (like ChatGPT). Your deep understanding of cancer diagnostics ... Remote: Fully remote, collaborative environment. About Turing: Based in San Francisco, California ...

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All JobsLarge Language Model Llm JobsRemote Large Language Model Llm JobsRemote Large Language Model Llm Jobs in Chicago, IL

Remote Large Language Model Llm information

See Chicago, IL salary details

$15

$25

$39

How much do remote large language model llm jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote large language model llm in Chicago, IL is $25.07, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $29.95 per hour, depending on experience, location, and employer.

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Chicago, IL?

The most popular types of Large Language Model Llm jobs in Chicago, IL are:

What are popular job titles related to Remote Large Language Model Llm jobs in Chicago, IL?

For Remote Large Language Model Llm jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Large Language Model Llm jobs in Chicago, IL look for?

The top searched job categories for Remote Large Language Model Llm jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Large Language Model Llm jobs?

Cities near Chicago, IL with the most Remote Large Language Model Llm job openings:

Remote Large Language Model Llm jobs near you
Infographic showing various Remote Large Language Model Llm job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $52,151 per year, or $25.1 per hour.

Full Stack Developer

Performacentric

Chicago, IL • On-site, Remote

Full-time

Re-posted 28 days ago

Key responsibilities

  • Build and maintain modern web applications across the entire technology stack, including frontend user interfaces and backend APIs.

  • Design, develop, and optimize APIs using Python and FastAPI, and create scalable microservices and backend architectures.

  • Design and optimize PostgreSQL databases, support data migration and ETL processes, and ensure data security and performance.

Job description

Full Stack Developer (React, Python & FastAPI)

Location: Remote (Preferred: Philippines, Latin America, or North America)
Employment Type: Full-Time / Contract
Company: Performacentric

About Performacentric

Performacentric helps small and mid-market organizations improve profitability, efficiency, visibility, and customer performance through custom AI solutions, intelligent automation, and connected business systems. We build AI agents, copilots, integrations, and business applications that eliminate manual processes and enable faster, data-driven decision making.

We are seeking a highly motivated Full Stack Developer to help design, build, and maintain modern web applications and AI-powered solutions for our clients and internal platforms.

Position Overview

The Full Stack Developer will be responsible for building and maintaining applications across the entire technology stack, including frontend user interfaces, backend APIs, database architecture, and cloud deployment.

The ideal candidate is equally comfortable developing modern React applications and building scalable Python/FastAPI backend services. Candidates with experience in machine learning, large language models (LLMs), AI agents, and PostgreSQL will receive strong consideration.

This position offers the opportunity to work on cutting-edge AI initiatives, business automation platforms, and next-generation enterprise applications.

Key Responsibilities
Frontend Development

  • Design and develop responsive web applications using React.
  • Build reusable UI components and front-end libraries.
  • Consume REST and GraphQL APIs.
  • Optimize applications for performance, scalability, and usability.
  • Collaborate with designers and stakeholders to create exceptional user experiences.

Backend Development

  • Develop and maintain APIs using Python and FastAPI.
  • Design scalable microservices and backend architectures.
  • Implement authentication, authorization, and security best practices.
  • Build integrations with third-party platforms and business applications.
  • Create automated workflows and data processing pipelines.

Database Development

  • Design and optimize PostgreSQL databases.
  • Develop efficient queries, indexes, and stored procedures.
  • Support data migration and ETL processes.
  • Ensure data integrity, security, and performance.

AI & Automation Development

  • Assist in the development of AI agents and copilots.
  • Integrate Large Language Models (LLMs) into business applications.
  • Build retrieval-augmented generation (RAG) solutions.
  • Support prompt engineering and AI workflow automation.
  • Develop integrations between AI services and enterprise systems.

DevOps & Quality

  • Participate in CI/CD pipeline development and maintenance.
  • Perform testing, debugging, and code reviews.
  • Monitor application performance and reliability.
  • Contribute to cloud infrastructure and deployment automation.

Required Qualifications

  • 3+ years of professional software development experience.
  • Strong proficiency in React.
  • Strong proficiency in Python.
  • Experience building APIs using FastAPI.
  • Experience with HTML5, CSS3, JavaScript, and TypeScript.
  • Familiarity with Git and GitHub-based development workflows.
  • Understanding of RESTful API design principles.
  • Experience working with relational databases.
  • Strong problem-solving and debugging skills.
  • Excellent written and verbal English communication skills.

Preferred Qualifications

Candidates possessing one or more of the following will receive preference:

  • Experience with PostgreSQL.
  • Machine Learning Engineering experience.
  • Experience deploying or fine-tuning open-source LLMs.
  • Experience with Llama models and related tooling.
  • Experience building AI agents and autonomous workflows.
  • Knowledge of vector databases and RAG architectures.
  • Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
  • Experience with Docker and containerized deployments.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with CI/CD pipelines and DevOps practices.
  • Familiarity with n8n or workflow automation platforms.

Technical Stack
Required

  • React
  • Python
  • FastAPI
  • Git/GitHub
  • REST APIs
  • HTML/CSS/JavaScript

Preferred

  • PostgreSQL
  • Llama LLM
  • LangChain
  • LlamaIndex
  • Docker
  • AWS
  • Azure
  • Vector Databases
  • Machine Learning Frameworks

Success Metrics

The successful candidate will:

  • Deliver production-ready features on schedule.
  • Develop scalable and maintainable code.
  • Build reliable APIs and integrations.
  • Contribute to AI-powered applications and automation solutions.
  • Maintain high standards for code quality, testing, and documentation.
  • Collaborate effectively across technical and business teams.

What We Offer

  • Opportunity to work on cutting-edge AI and automation projects.
  • Exposure to modern AI agent and LLM technologies.
  • Flexible remote work environment.
  • Opportunity for career growth within a rapidly growing AI-focused company.
  • Direct collaboration with company leadership and clients.
  • Meaningful impact on products that help businesses transform how they operate.

How to Apply

Please submit:

  1. Resume/CV
  2. GitHub profile (required)
  3. Portfolio or examples of recent projects
  4. Brief description of your experience with React, Python, FastAPI, PostgreSQL, and AI/ML technologies
  5. Any experience deploying or working with Llama-based LLMs or AI agents

Performacentric is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Apply