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Ai Engineer Developer Salary Jobs in Springfield, GA

Competitive salary plus performance bonus Condensed work schedule for better work-life balance Top ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Competitive salary plus performance bonus * Condensed work schedule for better work-life balance ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Why Thomas & Hutton? • Competitive salary plus performance bonus • Condensed work schedule for ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Competitive salary plus performance bonus * Condensed work schedule for better work-life balance ... AI) tools to support parts of the hiring process, such as reviewing applications and analyzing ...

Competitive salary plus performance bonus * Condensed work schedule for better work-life balance ... AI) tools to support parts of the hiring process, such as reviewing applications and analyzing ...

Network Engineer Lead

Fort Stewart, GA · On-site

$76K - $89K/yr

The NETENG shall be the overall designer, developer, builder, and maintainer of the MTC ... AI-powered career tool that identifies career steps and learning opportunities * Support: An ...

Competitive salary * Free health insurance * Free housing * A retirement plan * 30 days paid vacation per year EDUCATION OPPORTUNITIES Prospective Navy Civil Engineers may qualify for the Civil ...

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Ai Engineer Developer Salary information

See Springfield, GA salary details

$17

$50

$65

How much do ai engineer developer salary jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai engineer developer salary in Springfield, GA is $50.80, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $56.20 per hour, depending on experience, location, and employer.

What is the difference between Ai Engineer Developer Salary vs Data Scientist Salary?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDevelop AI models, algorithms, and softwareAnalyze data, build predictive models, interpret complex datasets
Common Search & Comparison IntentSalary differences, job roles, skills requiredSalary expectations, job responsibilities, career path

Generally, Ai Engineer Developers tend to have higher salaries due to specialized AI development skills, but Data Scientists also command competitive pay based on their expertise in data analysis and modeling. Both roles are in high demand across tech-driven industries.

How much do AI engineer developers get paid?

AI engineer developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to have higher salaries.

Is an AI engineer developer a high paying job?

AI engineer developers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What are popular job titles related to Ai Engineer Developer Salary jobs in Springfield, GA?

For Ai Engineer Developer Salary jobs in Springfield, GA, the most frequently searched job titles are:

What cities near Springfield, GA are hiring for Ai Engineer Developer Salary jobs?

Cities near Springfield, GA with the most Ai Engineer Developer Salary job openings:

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Savannah, GA • On-site

$20 - $30/hr

Full-time

Posted 4 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.