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Intern Ai Agent Developer Jobs in DeKalb, IL (NOW HIRING)

Supply Chain AI Program Expert

Batavia, IL ยท On-site

$125 - $150/hr

Design high-level AI agent concepts and solution blueprints for the site's highest-impact use cases ... Your Experience and qualifications Bachelor's/master's degree in engineering(Mechanical, Industrial ...

Supplier Development Engineering Intern

Elgin, IL ยท On-site

$16.50 - $21.50/hr

Avigilon, a Motorola Solutions company, designs, develops, and manufactures advanced AI, video ... The primary responsibility of the Quality Engineer Intern is to own and manage various aspects of ...

Supply Chain AI Program Expert

Batavia, IL ยท On-site

$145K/yr

Design high-level AI agent concepts and solution blueprints for the site's highest-impact use cases ... Bachelor's/master's degree in engineering (Mechanical, Industrial, Manufacturing, Electrical, or ...

Supply Chain AI Program Expert

Batavia, IL ยท On-site

$145K/yr

Design high-level AI agent concepts and solution blueprints for the site's highest-impact use cases ... Bachelor's/master's degree in engineering (Mechanical, Industrial, Manufacturing, Electrical, or ...

Supply Chain AI Program Expert

Batavia, IL ยท On-site

$145K/yr

Design high-level AI agent concepts and solution blueprints for the site's highest-impact use cases ... Bachelor's/master's degree in engineering (Mechanical, Industrial, Manufacturing, Electrical, or ...

Director of Biostatistics

Aurora, IL ยท Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Director of Biostatistics

Rockford, IL ยท Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Director of Biostatistics

Elgin, IL ยท Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

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Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the most commonly searched types of Ai Agent Developer jobs in DeKalb, IL?

The most popular types of Ai Agent Developer jobs in DeKalb, IL are:

What job categories do people searching Intern Ai Agent Developer jobs in DeKalb, IL look for?

The top searched job categories for Intern Ai Agent Developer jobs in DeKalb, IL are:

What cities near DeKalb, IL are hiring for Intern Ai Agent Developer jobs?

Cities near DeKalb, IL with the most Intern Ai Agent Developer job openings:

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Dekalb, IL โ€ข On-site

$20 - $30/hr

Full-time

Posted 7 days ago


Job description

Type: Contract, hourly

Location: Remote

Hours: 20โ€“30 per week

Pay: $20โ€“30/hour, based on experience and language coverage

Start: Immediate

ABOUT THE ROLE

We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run โ€” every command, result, and decision.

You will do two jobs, and you should expect either on any given day.

โ€ขAnnotate โ€” Read a trajectory nobody has looked at yet and judge it step by step.

โ€ข Review โ€” Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

โ€ข Feature build โ€” Add a working feature to a live library without breaking anything that already worked.

โ€ข Rebuild โ€” Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.

โ€ข Bug hunt โ€” Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.

Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.

WHAT YOU JUDGE IN A TRAJECTORY

โ€ข Was the command right for the state the environment was actually in?

โ€ข Did the agent read the previous output correctly?

โ€ข Was the step wrong, or only inefficient โ€” these are scored differently.

โ€ข Where did the run first go off course โ€” usually earlier than where it visibly broke.

โ€ข Did the agent notice its own mistake and recover, or keep building on a false assumption?

โ€ข Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?

WHAT WE NEED FROM YOU

โ€ข Experience โ€” 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

โ€ข Languages โ€” Strong in Python or Go, and able to read a language you've never used.

โ€ข Linux โ€” Comfortable with logs, running processes, build failures, and containers.

โ€ข Workflow โ€” Everyday Git, diffs, pull requests, and issue tracking.

โ€ข Debugging โ€” Able to work with no test suite and no error message pointing at the cause.

โ€ข Focus โ€” Able to hold context across a long run, because step 74 can depend on step 12.

โ€ข Writing โ€” Clear English, since every judgement needs an explanation another engineer can check.