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Artificial Intelligence Testing Jobs in Georgia (NOW HIRING)

Crowe LLP

Tax Artificial Intelligence Manager

Atlanta, GA

$106K - $139K/yr

The Tax Artificial Intelligence Manager leads the engineering team responsible for building and ... Improve engineering practices around testing, CI/CD, monitoring, deployment, documentation, and ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Deloitte

Cyber - Google Cloud Security - Manager

Atlanta, GA · On-site

$106K - $144K/yr

... testing, policy enforcement, and reusable guardrails * Serving as the primary day-to-day client ... Experience securing generative artificial intelligence and agentic workloads on Google Cloud ...

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How much do artificial intelligence testing jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for artificial intelligence testing in Georgia is $39.24, according to ZipRecruiter salary data. Most workers in this role earn between $35.53 and $43.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in Artificial Intelligence Testing?

Professionals in Artificial Intelligence Testing often encounter unique challenges, such as validating the unpredictable behavior of machine learning models and ensuring algorithmic fairness and accuracy. They must design comprehensive test cases to cover a wide variety of data inputs and potential edge cases, often in complex, rapidly evolving environments. Collaboration with data scientists, developers, and stakeholders is essential to understand model requirements and to interpret test results accurately. Staying up-to-date with advances in both AI and testing technologies is also key, as the field is continually evolving.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Testing position, and why are they important?

To thrive in Artificial Intelligence Testing, candidates typically need a background in computer science, machine learning concepts, software testing methodologies, and knowledge of programming languages like Python or Java. Familiarity with AI testing frameworks, version control systems, and tools such as TensorFlow, PyTorch, or JUnit is highly valued, along with certifications in software testing or AI. Strong problem-solving ability, attention to detail, and effective communication skills are critical soft skills in this role. These qualifications ensure the tester can rigorously validate AI models, collaborate well with development teams, and maintain high-quality, reliable AI systems.

What is an Artificial Intelligence Testing job?

An Artificial Intelligence Testing job involves evaluating and validating AI models, algorithms, and systems to ensure accuracy, reliability, and fairness. Testers design test cases, identify biases, detect errors, and assess model performance under different conditions. They use tools like automation frameworks, data validation techniques, and model debugging to improve AI functionality. The role requires knowledge of machine learning, programming, and testing methodologies to ensure AI systems perform as expected in real-world scenarios.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Georgia? The most popular types of Artificial Intelligence Testing jobs in Georgia are:
What cities in Georgia are hiring for Artificial Intelligence Testing jobs? Cities in Georgia with the most Artificial Intelligence Testing job openings:
Artificial Intelligence Testing jobs near you
Infographic showing various Artificial Intelligence Testing job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $81,623 per year, or $39.2 per hour.

Consultant | Artificial Intelligence | Artificial Intelligence - ALL

Spruce Infotech

Alpharetta, GA • On-site

$46.75 - $64.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: AI Engineer
Work Location : New York 10017 (Want only local candidates as No relocation would be allowed)
XXX
Contract duration: 6
Target Start Date: 01 Aug 2026
Does this position require Visa independent candidates only? YES
**hybrid work set up**
Job Details:
Must Have Skills
Agentic AI
GEn AI
Python
Nice to have skills
Snowflake
LLM
Detailed Job Description
Skill Set Must Have Skills Agentic AI, Gen AI, Lang Graph, Lang Chain, RAG, Python
Nice to Have Skills Snowflake
Must have experience in Agile and DevOps practices
Strong communication, organizational, and collaboration skills.
Demonstrates exceptional analytical and problem-solving skills.
Development experience building high volume systems
Experience in working on large and medium scale projects in agile environment
Experience with task management tools such as JIRA.
Competency with source control (preferably Git) and Continuous Integration tools such as Jenkins or Teamcity.
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Create highly optimized, scalable, redundant, and distributed software Deliver manageable, modular code, along with automated tests
Collaboratively Work with Chapter lead, product owners, scrum masters and testing team to deliver business requirements.
Work with geographically dispersed teams
Interview Process (Is face to face required?)
Yes
Any additional information you would like to share about the project specs/ nature of work
Project Code: WM Fraud Analytics

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