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Contractual Ai Game Developer Jobs in Indiana (NOW HIRING)

Comand AI

Deployment Strategist - Poland

Warsaw, IN · On-site

$150 - $200/hr

Comand AI's mission is to deliver the next-generation of software to the European defense. Bringing ... EU citizenship (contractual requirement tied to our defense contracts) * Willingness to deploy into ...

Moon Active

Site Reliability Engineer

Warsaw, IN · On-site

$60 - $80/hr

Moon Active is a company driven by the mission to become a global leader in mobile gaming. Founded ... AI driven mindset and experience in LLM tools usage; * Experience with Linux based systems;

Varsity Tutors

Computer Programming Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Varsity Tutors

Computer Programming Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

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Contractual Ai Game Developer information

What is a contractual AI game developer?

A Contractual AI Game Developer is a professional who is hired on a contract basis to design, implement, and optimize artificial intelligence systems within video games. Their work often includes creating non-player character (NPC) behaviors, designing adaptive game mechanics, and integrating machine learning algorithms to enhance gameplay. Unlike full-time employees, contractual developers typically work on specific projects or for a set period, offering flexibility to both game studios and developers. They collaborate closely with game designers, artists, and other programmers to ensure AI systems meet the creative and technical needs of each game.

How does a contractual AI game developer typically collaborate with designers and other developers during a project?

As a Contractual AI Game Developer, you'll work closely with game designers to understand gameplay mechanics and AI requirements, ensuring that the AI systems enhance player experience. Collaboration with other developers is also essential, especially when integrating AI modules into the broader game architecture. Regular meetings, code reviews, and shared documentation are common practices to ensure alignment and smooth progress. Effective communication and adaptability are key, as you may need to iterate on features based on feedback from both the design and development teams.

What are the key skills and qualifications needed to thrive as a contractual AI game developer, and why are they important?

To thrive as a Contractual AI Game Developer, you need strong programming skills (especially in languages like C++, Python, or C#), a solid understanding of artificial intelligence algorithms, and experience in game development frameworks or engines. Familiarity with tools such as Unity or Unreal Engine, machine learning libraries, and version control systems like Git is often required, and a relevant degree or portfolio of completed projects is advantageous. Creative problem-solving, effective communication, and the ability to work independently are crucial soft skills for adapting to different projects and client needs. These competencies ensure the delivery of innovative, efficient AI solutions that enhance gameplay and meet contractual project goals.

What is the difference between Contractual Ai Game Developer vs AI Game Developer?

AspectContractual Ai Game DeveloperAI Game Developer
CredentialsTypically requires a degree in computer science, game development, or related fields; experience with AI and game enginesSimilar credentials; often includes certifications in AI, machine learning, or game development
Work EnvironmentContract-based, project-specific, often remote or freelanceFull-time or freelance roles within game studios or tech companies
Employer & Industry UsageUsed by game studios, tech firms, and startups for specific projectsEmployed broadly across gaming, entertainment, and AI-focused companies

Contractual Ai Game Developers focus on short-term, project-based work, often with flexible arrangements, while AI Game Developers may work full-time on ongoing projects. Both roles require similar skills and credentials, but differ mainly in employment type and work setup.

What are the most commonly searched types of Ai Game Developer jobs in Indiana?

The most popular types of Ai Game Developer jobs in Indiana are:

What cities in Indiana are hiring for Contractual Ai Game Developer jobs?

Cities in Indiana with the most Contractual Ai Game Developer job openings:

Contractual Ai Game Developer jobs near you

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Terre Haute, IN • On-site

$20 - $30/hr

Full-time

Posted 6 days ago

Job description

Type: Contract, hourly

Location: Remote

Hours: 20–30 per week

Pay: $20–30/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 — every command, result, and decision.

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

•Annotate — Read a trajectory nobody has looked at yet and judge it step by step.

• Review — Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

• Feature build — Add a working feature to a live library without breaking anything that already worked.

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

• Bug hunt — 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

• Was the command right for the state the environment was actually in?

• Did the agent read the previous output correctly?

• Was the step wrong, or only inefficient — these are scored differently.

• Where did the run first go off course — usually earlier than where it visibly broke.

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

• 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

• Experience — 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

• Languages — Strong in Python or Go, and able to read a language you've never used.

• Linux — Comfortable with logs, running processes, build failures, and containers.

• Workflow — Everyday Git, diffs, pull requests, and issue tracking.

• Debugging — Able to work with no test suite and no error message pointing at the cause.

• Focus — Able to hold context across a long run, because step 74 can depend on step 12.

• Writing — Clear English, since every judgement needs an explanation another engineer can check.

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