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Coding Train Jobs in Chicago, IL (NOW HIRING)

Jobtailor

Team Lead, Technical Billing

Schaumburg, IL · On-site

$65 - $90/hr

Onboard, mentor, coach, and train new team members * Promote knowledge-sharing, best practices, collaboration, accountability, and solution-oriented work * Complete other special projects as assigned ...

Ace Hardware

Field Support Manager

Oak Brook, IL · On-site

$135K - $155K/yr

Inspect installation quality and ensure adherence to codes, safety standards, and company SOPs ... Train technicians to present options, explain value, and close work ethically, focusing on ...

Ace Hardware

Field Support Manager

Oak Brook, IL · On-site

$135K - $155K/yr

Inspect installation quality and ensure adherence to codes, safety standards, and company SOPs ... Train technicians to present options, explain value, and close work ethically, focusing on ...

medical center

Be Seen First

Bilingual Nurse Practitioner/PA, New Graduates OK

Villa Park, IL · On-site

$65 - $68/hr

If New graduate , can apply will train and orient the right candidate. Responsibilities: - Conduct ... ICD-10 coding for accurate documentation - Ability to phlebotomize , injections Job Types ...

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All JobsCoding Train JobsCoding Train Jobs in Chicago, IL

Coding Train information

See Chicago, IL salary details

$13

$34

$56

How much do coding train jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for coding train in Chicago, IL is $34.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.77 and $41.11 per hour, depending on experience, location, and employer.

What is Coding Train?

Coding Train is an educational platform and YouTube channel created by Daniel Shiffman that focuses on teaching programming concepts, primarily using JavaScript and the p5.js library. The channel features tutorials, creative coding challenges, and live streams that make learning to code accessible and fun for people of all skill levels. Coding Train is especially known for its engaging teaching style and emphasis on visual and interactive projects, helping learners understand complex topics through hands-on examples.

What collaborative opportunities are typically available for educators working with the Coding Train community?

Educators involved with The Coding Train community often collaborate on developing educational content, organizing live coding sessions, and participating in open-source projects. Team members regularly engage with fellow educators, contributors, and learners through online forums, video workshops, and community challenges. This collaborative environment fosters the sharing of creative coding ideas, feedback on projects, and joint problem-solving, making it a supportive space for professional growth and network building.

What are the key skills and qualifications needed to thrive as a coding trainer, and why are they important?

To thrive as a Coding Trainer, you need strong programming expertise, instructional skills, and experience with relevant coding languages, often supported by a degree in computer science or a related field. Familiarity with educational platforms, code editors, and certifications such as CompTIA CTT+ or relevant language-specific credentials is typically valuable. Excellent communication, patience, and the ability to motivate and engage learners are crucial soft skills for this role. These skills ensure effective knowledge transfer, learner engagement, and successful skill development for students.

What is the difference between Coding Train vs Coding Instructor?

AspectCoding TrainCoding Instructor
CredentialsTypically self-taught or coding bootcamp graduatesOften requires teaching certifications or computer science background
Work EnvironmentOnline platforms, coding tutorials, workshopsEducational institutions, coding bootcamps, online courses
Industry UsageContent creation, online education, community engagementFormal teaching, curriculum development, student assessment

The Coding Train primarily focuses on creating coding tutorials and engaging with online communities, often without formal teaching credentials. In contrast, a Coding Instructor typically works within educational institutions or structured programs, requiring teaching certifications or relevant degrees. Both roles involve teaching coding skills but differ in credentials, work environment, and industry application.

How to train to become a coding train?

To train as a coding train, focus on developing strong programming skills in languages like JavaScript or Python, and gain experience with coding platforms, tutorials, and projects. Building a portfolio of coding exercises and understanding core concepts such as algorithms and data structures are essential for success in this role.

What are popular job titles related to Coding Train jobs in Chicago, IL?

For Coding Train jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Coding Train jobs in Chicago, IL look for?

The top searched job categories for Coding Train jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Coding Train jobs?

Cities near Chicago, IL with the most Coding Train job openings:

Coding Train jobs near you
Infographic showing various Coding Train job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $70,754 per year, or $34 per hour.

AI Researcher - Frontiers & Reasoning

Logical Intelligence

Mundelein, IL • On-site

Other

Posted 25 days ago

Job description

Logical Intelligence, we're revolutionizing software development with AI-powered formal verification. We've developed groundbreaking agents that provide mathematical guarantees of code correctness, ensuring that software behaves exactly as intended while proactively identifying bugs and security vulnerabilities. Our novel foundation model enables scalable, precise reasoning for formally verifiable code across Rust, Golang, and smart contract VMs. We’ve won a well-known formal verification benchmark called PutnamBench, which consists of 672 hard math problems from the William Lowell Putnam Exam, the oldest collegiate mathematics competition in North America. Backed by a world-class team – including ICPC champions, a Fields Medalist and an ACM Turing Award winner – we're building the future where all code is provably correct.



About the role

Join our team as an AI Researcher and help us push the boundaries of what's possible in logical reasoning! We’re looking for a motivated individual to build, maintain, and improve innovative approaches including (but not limited to!) energy-based modeling (EBM). You'll be at the forefront of designing and refining algorithms that go beyond the capabilities of traditional Large Language Models (LLMs), tackling complex reasoning challenges. You'll work closely with a talented team of AI experts, EBM specialists, formal verification engineers, and software developers to create groundbreaking solutions.



What you'll do

  • Research new reasoning algorithms and models
  • Pre-train and fine-tune the State-of-the-Art LLMs
  • Combine Reasoning algorithm and LLMs
  • Build effective and efficient ML pipelines
  • Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
  • Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution.



Qualifications

  • M.Sc. or Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
  • 5+ years of subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Reasoning, Energy-based Modeling (preferable)
  • Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX
  • Strong communication and teamwork skills
  • Experience with explicit and implicit reasoning
  • Demonstrated research publications in any of the major conferences (CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, ACL, etc.


Bonus Points

  • Provable record of Energy-based usage for different problems
  • Hands-on with algorithms used to train Energy-based models
  • Multi-node and multi-GPU training
  • Mathematical Reasoning – discrete math and logic
  • Formal Verification - lean

Apply