ZipRecruiter

Log In

1

Training Ai Models Jobs in Georgia (NOW HIRING)

Candescent

Principal AI Security Engineer

Atlanta, GA · On-site

This role is not focused on building or training AI models. Key Responsibilities and Deliverables Secure AI Integration * Define and maintain secure integration patterns for third-party AI and LLM ...

Capitolis

Principal AI Security Engineer

Atlanta, GA · On-site

$120 - $150/hr

This role is not focused on building or training AI models. Key Responsibilities and Deliverables Secure AI Integration * Define and maintain secure integration patterns for third‑party AI and LLM ...

micro1 AI

AI Training Specialist - Life Sciences

Macon, GA · Remote

$90 - $120/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Provide detailed scientific input and content to support the development and training of AI models.

OVA.Work

Voice AI

Alpharetta, GA · On-site

... Models (LLMs), and ensuring low-latency processing of Automatic Speech Recognition (ASR) and Text ... for training AI systems, or reviewing AI-generated speech to ensure it sounds authentic.

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

... for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to improve AI models and workflows. Required Skills

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

... for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to improve AI models and workflows. Required Skills

Cyber Infrastructure (P) Limited

AI Engineer

Atlanta, GA · On-site

$120 - $160/hr

This role involves coding, training models, and implementing AI solutions to enhance functionality and innovation within various systems. \Overview\ AI Engineer designs and develops artificial ...

KPMG US

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data preparation for AI/ML model training, and integrate AI solutions into enterprise applications.

Coca-Cola

AI Engineer - Cyber Programs

Atlanta, GA · On-site

Test for AI-specific vulnerabilities including prompt injection, jailbreaking, output manipulation, data poisoning, model inversion, training data extraction, membership inference, and adversarial ...

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

Work is looking for a talented AI/ML Engineer to design, develop, and deploy machine learning and ... model training • Collaborate with data scientists, software engineers, and product teams • ...

next page

Showing results 1-20

All JobsTraining Ai Models JobsTraining Ai Models Jobs in Georgia

Training Ai Models information

What is a training AI model?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What are common challenges faced when training AI models, and how are they addressed?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

What are the key skills and qualifications needed to thrive in the training AI models position, and why are they important?

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

Can you get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. Compensation varies based on experience, location, and the complexity of the tasks, and often involves working with labeled datasets, coding, and understanding AI frameworks.

How to become a training AI models?

To become a training AI models professional, develop strong skills in programming languages like Python, understand machine learning algorithms, and gain experience with data preprocessing and model evaluation. Familiarity with frameworks such as TensorFlow or PyTorch and a background in computer science or data science are also important. Certifications or courses in AI and machine learning can enhance your qualifications.

What job trains AI models?

A job that trains AI models is typically called an AI/ML engineer or data scientist. These roles involve developing, testing, and refining machine learning algorithms using programming skills in languages like Python and tools such as TensorFlow or PyTorch. They often require knowledge of data preprocessing, model evaluation, and experience with large datasets.

What are the most commonly searched types of Training Ai Models jobs in Georgia?

The most popular types of Training Ai Models jobs in Georgia are:

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

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

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

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

What cities in Georgia are hiring for Training Ai Models jobs?

Cities in Georgia with the most Training Ai Models job openings:

Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Georgia as of August 2026, with employment types broken down into 57% Full Time, 11% Part Time, and 32% Contract. Highlights an 65% In-person, and 35% Remote job distribution.

Principal AI Security Engineer

Candescent

Atlanta, GA • On-site

Full-time

Re-posted 25 days ago

Job description

Candescent is a forward-thinking technology company transforming how financial institutions deliver Intelligent Banking experiences. We unite digital banking, account opening, and branch solutions that power and connect digital banking, account opening, and branch solutions-creating seamless engagement across digital, remote, and in-person channels.
Our Experience-Led, Intelligence-Driven approach combines human-centered design with data, automation, and cloud-based innovation. Built on an API-first architecture, our extensible ecosystem enables institutions to adapt quickly, integrate easily, and unlock new opportunities for growth-turning every customer interaction into a moment of clarity, confidence, and connection.
Role Summary
We are seeking an AI Security Engineer to own the security of how we adopt and integrate third-party artificial intelligence and large language model (LLM) services across the enterprise. This is a practitioner role for someone with a strong security engineering foundation who has developed meaningful expertise in AI/ML security risks - or who is actively building that expertise and ready to own it as their primary charter.
As an enterprise consumer of AI services, our risk surface centers on how we connect to and use external AI providers - securing API integrations, controlling data exposure, governing adoption of AI tools across the organization, and ensuring AI usage aligns with our regulatory obligations. This role is not focused on building or training AI models.
Key Responsibilities and Deliverables
Secure AI Integration
  • Define and maintain secure integration patterns for third-party AI and LLM services, including API security, authentication, secrets management, and data-in-transit protections.
  • Establish and enforce input/output controls, prompt handling standards, and data classification guardrails for AI-enabled applications.
  • Evaluate the security posture of AI service providers as part of third-party and vendor risk processes.
  • Develop guidance for the secure adoption of agentic AI tools and multi-agent integrations, including scope containment and human oversight controls.

AI Security Governance
  • Build and maintain an AI security risk framework aligned to the organization's regulatory obligations: GLBA, PCI DSS 4.0.1, DORA ICT third-party risk, and NYDFS 23 NYCRR 500.
  • Establish governance controls for enterprise AI adoption, including standards for approved AI services, data handling requirements, and shadow AI detection.
  • Align internal AI security controls to emerging frameworks - NIST AI RMF and ISO/IEC 42001 - and advise on the organization's readiness as regulatory expectations evolve.

Threat Identification & Engineering Controls
  • Identify and mitigate AI-specific risks including prompt injection, model manipulation, data leakage, adversarial inputs, and AI-enabled social engineering.
  • Partner with security operations to build detection and response capabilities for AI-integrated systems.
  • Monitor the evolving AI threat landscape and translate emerging risks into practical engineering and governance responses.

Cross-Functional Partnership
  • Work with engineering, product, and cloud platform teams to embed security-by-design into AI-enabled applications and integrations.
  • Communicate AI security risks and recommendations clearly to both technical peers and non-technical leadership.
  • Contribute to security awareness and internal education on AI risk for engineering and business teams.

Requirements
  • Bachelor's degree in Computer Science, Information Security, Engineering, or a related technical discipline or equivalent practical experience.
  • 7+ years of experience in security engineering, application security, cloud security, or a closely related discipline.
  • Hands-on experience securing cloud-native environments and API-based integrations (AWS, Azure, or GCP).
  • Solid understanding of authentication, authorization, secrets management, and data protection in distributed systems.
  • Ability to assess technical risk and translate findings into actionable engineering controls and governance language.
  • Working knowledge of AI/ML security risks relevant to an enterprise consumer context: prompt injection, data leakage, insecure API integration, shadow AI, model output manipulation, and AI supply chain risk.
  • Familiarity with OWASP LLM Top 10 and MITRE ATLAS as applied threat frameworks.
  • Experience with or meaningful exposure to securing integrations with LLM service providers (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI).
  • Demonstrated engagement with AI security as an area of active professional focus - through applied work, research, certifications, or equivalent.

Security Foundations (any of the following)
  • CISSP - Certified Information Systems Security Professional
  • CCSP - Certified Cloud Security Professional
  • Cloud platform security certification: AWS Security Specialty, AZ-500 (Azure), or Google Professional Cloud Security Engineer
  • ISSAP - Information Systems Security Architecture Professional (for candidates with a strong architecture focus)

Preferred
  • Familiarity with at least one of the following as it applies to AI or third-party technology risk: GLBA, PCI DSS 4.0.1, NYDFS 23 NYCRR 500, DORA.
  • Experience working in regulated financial services or an equivalently controlled environment is a plus, not a requirement.
  • CAISP - Certified AI Security Professional (Practical DevSecOps) - hands-on, lab-based; currently the most technically rigorous AI security credential available
  • CAISS - Certified AI Security Specialist (Ampcus Cyber / ISACA chapters) - workshop-based; widely available through ISACA and ISC² chapter networks
  • AIGP - Artificial Intelligence Governance Professional (IAPP) - governance and compliance focus; particularly relevant to regulatory alignment work
  • ISO/IEC 42001 Lead Implementer or Lead Auditor - appropriate for candidates with a governance and risk management emphasis
  • Must be legally authorized to work in the U.S. without sponsorship.
  • Hybrid in Atlanta Office

Statement to Third Party Agencies
To ALL recruitment agencies: Candescent only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, Candescent employees, or any Candescent facility. Candescent is not responsible for any fees or charges associated with unsolicited resumes.

Apply