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Remote Generative Ai Jobs in Columbus, GA (NOW HIRING)

CYNET SYSTEMS

AI Engineer - Remote / Telecommute

Columbus, GA · Remote

$37 - $42/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong expertise in Generative AI and Large Language Models (LLMs). * Experience with Azure OpenAI or OpenAI APIs. * Proficiency in Spring Boot and REST API Development. * Knowledge of Microservices ...

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Remote Generative Ai information

See Columbus, GA salary details

$14.3K

$132.7K

$171K

How much do remote generative ai jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote generative ai in Columbus, GA is $132,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $149,900.00 per year, depending on experience, location, and employer.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What are the best remote generative AI jobs?

Remote generative AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, focusing on developing and deploying AI models like GPT or DALL·E. These positions often require skills in programming, deep learning frameworks, and experience with large language models, with many opportunities available through tech companies, research institutions, and startups. They typically offer flexible schedules and may require certifications or advanced degrees in computer science or related fields.

What jobs can I get with remote generative AI?

Remote generative AI skills can qualify you for roles such as AI content developer, machine learning engineer, data scientist, or AI research scientist. These positions often require knowledge of AI frameworks, programming languages like Python, and experience with large language models or neural networks. Many of these jobs are available in tech companies, research institutions, and startups, often with flexible schedules and remote work options.

What are the most commonly searched types of Generative Ai jobs in Columbus, GA?

The most popular types of Generative Ai jobs in Columbus, GA are:

What cities near Columbus, GA are hiring for Remote Generative Ai jobs?

Cities near Columbus, GA with the most Remote Generative Ai job openings:

Remote Generative Ai jobs near you

AI Engineer - Remote / Telecommute

CYNET SYSTEMS

Columbus, GA • Remote

$37 - $42/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Job description

Job Overview:

Pay Range: $37hr - $42hr

Requirement/Must Have:

  • 5+ years of experience in Java-based enterprise application development.
  • Strong expertise in Generative AI and Large Language Models (LLMs).
  • Experience with Azure OpenAI or OpenAI APIs.
  • Proficiency in Spring Boot and REST API Development.
  • Knowledge of Microservices Architecture.

Responsibilities:

  • Design, develop, and maintain enterprise-grade applications using Java 17+, Spring Boot, and Microservices Architecture.
  • Build and consume REST APIs and integrate backend services with AI platforms.
  • Develop and integrate Generative AI/LLM-powered solutions into enterprise applications and business workflows.
  • Implement Retrieval Augmented Generation (RAG) solutions to enhance AI response quality and accuracy.
  • Design and optimize context assembly and retrieval mechanisms for Large Language Models (LLMs).
  • Develop AI orchestration workflows using modern AI frameworks and tools.
  • Integrate and optimize Azure OpenAI/OpenAI APIs for conversational AI and intelligent automation use cases.
  • Create, test, and refine prompts to improve AI-generated outputs.
  • Implement AI response validation, monitoring, compliance checks, and guardrails for production-grade applications.
  • Develop solutions for transcript processing, content summarization, and AI-assisted documentation generation.
  • Collaborate with Product Owners, Architects, and Business Stakeholders to identify and implement AI use cases.
  • Ensure application scalability, security, performance, and adherence to software engineering best practices.

Skills:

  • Java (Java 17+ preferred).
  • Spring Boot.
  • REST API Development.
  • Generative AI.
  • Large Language Models (LLMs).
  • Azure OpenAI or OpenAI APIs.
  • Prompt Engineering.
  • Retrieval Augmented Generation (RAG).
  • Microservices Architecture.
  • AI Application Integration & Orchestration.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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