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Ai Model Jobs in Georgia (NOW HIRING)

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

The AI Model Validation Lead will ensure the accuracy, robustness, and ethical compliance of AI models, working closely with data scientists and engineers to validate models and recommend ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

$210K - $280K/yr

AI Model Validation Lead Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how ...

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required ...

YO AI Labs

AI Consulting Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Develop, refine, and evaluate prompts for AI models. * Conduct quality assurance and rubric-based evaluations of AI-generated outputs. * Annotate data, interpret findings, and perform fact-checking ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required ...

YO AI Labs

AI Finance Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills * Critical Thinking * Analytical Reasoning * Quality Assurance * Prompt Engineering * AI Output ...

AIG

AI Observability Engineer

Atlanta, GA · On-site

Responsibilities : • Model Performance Monitoring: Tracking ML,LLM, Agentic AI key performance indicators (KPIs) like context relevance, accuracy, precision, recall, and F1 scores to ensure model ...

SmartIPlace

Lead AI Engineer or Architect[Hybrid]

Atlanta, GA · On-site

$53.25 - $72.75/hr

Pipelines Automation (Data Pipelines, AI / Model Training Pipelines, Deploying Application, Models Automation through, CICD, IaC (Vertex AI, Azure, IBM watsonX) * Provide templates for application ...

Inficare Technologies

Quality Engineer AI

Atlanta, GA · On-site

$69K - $89K/yr

Validate AI model performance, accuracy, fairness, robustness, and reliability * Develop automated testing frameworks for web, mobile, APIs, and AI-powered applications * Create and execute test ...

Lorven Technologies

AI/ML Engineer

Alpharetta, GA · On-site

Experience with REST API integration for ML models and AI services. * You should have Hands-on experience with Apache Kafka integration and real-time data processing. * Experience with GitHub and ...

Pwc

AI Engineer

Atlanta, GA · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

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Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What are popular job titles related to Ai Model jobs in Georgia?

For Ai Model jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ai Model jobs in Georgia look for?

The top searched job categories for Ai Model jobs in Georgia are:

What cities in Georgia are hiring for Ai Model jobs?

Cities in Georgia with the most Ai Model job openings:

Ai Model jobs near you
Infographic showing various Ai Model job openings in Georgia as of August 2026, with employment types broken down into 62% Full Time, 18% Part Time, and 20% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

AI Model Validation Lead, GenAI

Atlanta, GA • On-site

AIG
Insurance Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

72nd of 312 rated insurance

People enjoy working here

Good employer

Paid breaks

Learn more about AIGexternal

Full-time

Re-posted 19 days ago

Job description

Job Summary:
AIG is making long-term investments in a new Generative AI team to explore innovative applications of artificial intelligence in insurance and beyond. The AI Model Validation Lead will ensure the accuracy, robustness, and ethical compliance of AI models, working closely with data scientists and engineers to validate models and recommend improvements.
Responsibilities:
• Design and execute comprehensive model validation strategies, including quantitative and qualitative assessments.
• Review model development documentation, code, and datasets for correctness, completeness, and compliance with regulatory standards.
• Conduct independent testing of AI models, evaluating performance metrics, sensitivity analyses, and stress testing outcomes.
• Actively challenge assumptions, data quality, and methodology used to build and implement models
• Identify and communicate model risks, limitations, and potential biases to stakeholders, ensuring transparency and accountability.
• Collaborate with cross-functional teams to refine modeling approaches and support continuous improvement.
• Prepare clear validation reports and audit trails for review and internal governance.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 10+ years of experience in AI/machine learning model validation, model risk management, or related roles.
• Expertise in supervised and unsupervised learning techniques, deep learning, natural language processing, and statistical modeling.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with ML frameworks.
• Strong knowledge of data governance, ethical AI principles, and regulatory requirements impacting AI models (e.g., GDPR, Fair Lending, Basel II/III).
• Experience with model validation tools, version control, and documentation best practices.
• Excellent analytical, problem-solving, and written communication skills.
• Ability to manage multiple projects and deadlines, working both independently and as part of a team.
Preferred:
• Prior experience in insurance and/or financial services, healthcare, or regulated industries.
• Certification in model risk management or AI ethics (e.g., SAS Certified AI & Machine Learning Professional).
• Demonstrated ability to lead complex validation projects and mentor junior team members.
Company:
American International Group provides property insurance, life insurance, and financial services. Founded in 1919, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919

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What AIG employees say

Pay

Benefits

Hours and flexibility

Workplace

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