1

Ai Language Trainer Jobs in Decatur, GA (NOW HIRING)

This role is not focused on building or training AI models. Key Responsibilities and Deliverables ... language. * Working knowledge of AI/ML security risks relevant to an enterprise consumer context ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Corporate M&A Associate

Atlanta, GA · Remote

$80 - $105/hr

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Transactional Lawyer

Atlanta, GA · Remote

$80 - $105/hr

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

AI Solutions Partner

Atlanta, GA · Remote

$112K/yr

This individual will help build the playbook, training, and field assets that allow Forrester's go ... language models (LLMs), retrieval, and integration patterns work in an enterprise context.

Be Seen First

AI/ML Engineer

Atlanta, GA · On-site

$135K - $175K/yr

... training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure ... language models. • Experience deploying ML solutions using MLOps pipelines. • Knowledge of ...

Be Seen First

AI/ML Engineer

Atlanta, GA · On-site

$135K - $175K/yr

... training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure ... language models. • Experience deploying ML solutions using MLOps pipelines. • Knowledge of ...

AI Solutions Partner

Atlanta, GA · On-site

$148 - $222/hr

This individual will help build the playbook, training, and field assets that allow Forrester's go ... language models (LLMs), retrieval, and integration patterns work in an enterprise context.

... model training, evaluation, streamline the model deployment process, including dependency and ... Language Models). • Proficiency in Python (preferred) or other general-purpose programming ...

AI Application Engineer

Atlanta, GA · On-site

$133K - $204K/yr

... training. The base pay range for this role is estimated to be $133,125 - $204,125 at the time of ... Working knowledge of common AI/ML algorithms, and LLMs (Large Language Models) * Proficiency in ...

... training content for technical and non-technical audiences at all levels of seniority • ... Language Models knowledge of various models, algorithms, and evaluation metrics is crucial for ...

AI Application Engineer

Atlanta, GA · On-site

$133K - $204K/yr

... training. The base pay range for this role is estimated to be $133,125 - $204,125 at the time of ... Working knowledge of common AI/ML algorithms, and LLMs (Large Language Models) * Proficiency in ...

... training. The base pay range for this role is estimated to be $133,125 - $204,125 at the time of ... Working knowledge of common AI/ML algorithms, and LLMs (Large Language Models) * Proficiency in ...

... language that audiences with no predictive analytics training can easily find connections to ... Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

next page

Showing results 1-20

Ai Language Trainer information

See Decatur, GA salary details

$13

$30

$62

How much do ai language trainer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for ai language trainer in Decatur, GA is $30.50, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $34.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Language Trainer position, and why are they important?

To thrive as an Ai Language Trainer, you need a solid understanding of linguistics, natural language processing, and data annotation, often supported by a degree in computer science, linguistics, or a related field. Familiarity with annotation platforms, scripting languages like Python, and AI training or evaluation tools is highly advantageous. Exceptional attention to detail, analytical thinking, and strong communication skills help you excel when creating and refining language datasets. These skills are crucial for producing high-quality language models that power accurate and reliable AI applications.

What are the typical daily responsibilities of an Ai Language Trainer?

As an Ai Language Trainer, your daily tasks usually involve curating and annotating language data, reviewing and correcting AI-generated outputs, and providing detailed feedback to improve language models. You'll often collaborate with data scientists, software engineers, and fellow linguists to identify gaps in model performance and discuss strategies for improvement. Additionally, you may be responsible for designing linguistic evaluation tests and participating in quality assurance processes. The role requires a mix of independent problem-solving and teamwork to ensure ongoing enhancements in AI language understanding.

What is an AI Language Trainer job?

An AI Language Trainer is responsible for improving AI language models by providing high-quality training data, refining responses, and ensuring accuracy, clarity, and relevance. This role often involves reviewing and annotating text, evaluating model outputs, and offering linguistic or grammatical corrections. AI Language Trainers may also collaborate with engineers and researchers to enhance the model’s performance and adaptability across different topics and contexts.

What are the most commonly searched types of Ai Language Trainer jobs in Decatur, GA? The most popular types of Ai Language Trainer jobs in Decatur, GA are:
What job categories do people searching Ai Language Trainer jobs in Decatur, GA look for? The top searched job categories for Ai Language Trainer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Ai Language Trainer jobs? Cities near Decatur, GA with the most Ai Language Trainer job openings:
Infographic showing various Ai Language Trainer job openings in Decatur, GA as of July 2026, with employment types broken down into 82% Full Time, 10% Part Time, 4% Temporary, and 4% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $63,446 per year, or $30.5 per hour.

Principal AI Security Engineer

Candescent

Atlanta, GA • On-site

Full-time

Re-posted 16 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.