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Freelance Artificial Intelligence Engineer Jobs in Decatur, GA

Artificial Intelligence Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Job Summary : eTeam is a company seeking an Artificial Intelligence Engineer to design, build, and deploy agentic AI systems using generative AI models and various frameworks. The role involves ...

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Freelance Artificial Intelligence Engineer information

See Decatur, GA salary details

$14

$46

$129

How much do freelance artificial intelligence engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for freelance artificial intelligence engineer in Decatur, GA is $46.58, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $60.34 per hour, depending on experience, location, and employer.

What is a freelance artificial intelligence engineer?

Freelance artificial intelligence (AI) engineers are independent professionals who design, develop, and implement AI solutions for clients on a project or contract basis rather than as full-time employees. They typically work with machine learning, deep learning, natural language processing, and related technologies to solve specific business problems. Freelance AI engineers may collaborate with companies across various industries, offering expertise in building predictive models, automating processes, and analyzing large datasets. Their flexible work arrangements allow businesses to access specialized AI skills without long-term commitments. They often manage their own schedules, client relationships, and project deliverables.

How do freelance artificial intelligence engineers typically collaborate with clients and other team members on projects?

Freelance Artificial Intelligence Engineers often work remotely and collaborate with clients and multidisciplinary teams using digital communication tools like Slack, Zoom, and project management platforms. They usually participate in regular virtual meetings to discuss project requirements, share progress updates, and troubleshoot challenges. Effective communication and clear documentation are key, as freelancers must ensure alignment on project goals and deliverables while managing their own schedules. Additionally, they may collaborate with data scientists, software developers, and product managers to integrate AI models into broader applications.

What are the key skills and qualifications needed to thrive as a freelance artificial intelligence engineer, and why are they important?

To thrive as a Freelance Artificial Intelligence Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and demonstrated project experience. Proficiency in programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, along with certifications like TensorFlow Developer or AWS Machine Learning if possible. Excellent problem-solving, communication, and self-management skills help you deliver projects independently and collaborate effectively with clients. These skills and qualities are crucial for building robust AI solutions, meeting client expectations, and succeeding in a dynamic freelance environment.

What is the difference between Freelance Artificial Intelligence Engineer vs Data Scientist?

AspectFreelance Artificial Intelligence EngineerData Scientist
CredentialsTypically requires degrees in computer science, AI, or related fields; certifications in AI/ML are commonRequires degrees in statistics, data analysis, or related fields; certifications in data analysis or ML are common
Work EnvironmentFreelance projects, remote or on-site, working with clients across industriesUsually employed full-time in organizations or consulting firms, working with large datasets
Employer & Industry UsageUsed by startups, tech companies, and consulting clients for AI solutionsEmployed in finance, healthcare, tech, and research sectors for data analysis and insights

While both roles involve working with data and machine learning, Freelance Artificial Intelligence Engineers focus on developing AI solutions for clients on a project basis, often requiring self-management and diverse project scopes. Data Scientists analyze data to extract insights, typically within organizations. The roles overlap in skills but differ mainly in work setting and project structure.

Is a Freelance Artificial Intelligence Engineer still in demand?

Yes, freelance artificial intelligence engineers are in high demand due to the growing adoption of AI technologies across industries. Skills in machine learning, deep learning, and proficiency with tools like Python and TensorFlow increase job opportunities for freelancers in this field.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Decatur, GA?

The most popular types of Artificial Intelligence Engineer jobs in Decatur, GA are:

What are popular job titles related to Freelance Artificial Intelligence Engineer jobs in Decatur, GA?

For Freelance Artificial Intelligence Engineer jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Freelance Artificial Intelligence Engineer jobs in Decatur, GA look for?

The top searched job categories for Freelance Artificial Intelligence Engineer jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Freelance Artificial Intelligence Engineer jobs?

Cities near Decatur, GA with the most Freelance Artificial Intelligence Engineer job openings:

Infographic showing various Freelance Artificial Intelligence Engineer job openings in Decatur, GA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $96,882 per year, or $46.6 per hour.

Artificial Intelligence Engineer

Alpharetta, GA • On-site

$108K - $130K/yr

Full-time

Re-posted 14 days ago


Job description

Job Summary:
eTeam is a company seeking an Artificial Intelligence Engineer to design, build, and deploy agentic AI systems using generative AI models and various frameworks. The role involves collaborating with teams to deliver production-ready AI solutions and optimizing agent performance for high-quality user experiences.
Responsibilities:
• Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph, Lang Chain
• Design, build, and deploy agentic AI systems using generative AI models, agent frameworks, custom orchestrators, enterprise systems, APIs, and third-party tools.
• Develop and maintain Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior.
• Collaborate closely with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver production-ready AI solutions.
• Monitor, evaluate, and optimize agent performance, ensuring safety, accuracy, trustworthiness, and high-quality user experience.
• Stay up to date with advancements in multi-agent orchestration, RAG techniques, cognitive architectures, and AI safety practices.
• Work with business teams to understand requirements and deliver scalable, enterprise-grade data and AI solutions.
• Demonstrate strong experience in enterprise-level data ingestion, transformation, analysis, and problem-solving, along with effective cross-functional communication skills.
Qualifications:
Required:
• Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph, Lang Chain
• Design, build, and deploy agentic AI systems using generative AI models, agent frameworks, custom orchestrators, enterprise systems, APIs, and third-party tools.
• Develop and maintain Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior.
• Collaborate closely with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver production-ready AI solutions.
• Monitor, evaluate, and optimize agent performance, ensuring safety, accuracy, trustworthiness, and high-quality user experience.
• Stay up to date with advancements in multi-agent orchestration, RAG techniques, cognitive architectures, and AI safety practices.
• Work with business teams to understand requirements and deliver scalable, enterprise-grade data and AI solutions.
• Demonstrate strong experience in enterprise-level data ingestion, transformation, analysis, and problem-solving, along with effective cross-functional communication skills.
• Minimum Years of Experience: 9+ years
Preferred:
• Snowflake
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.