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Trainee Ai Software Engineer Jobs in Georgia (NOW HIRING)

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

AI Software Engineer - Remote

Atlanta, GA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior AI Software Engineer

Atlanta, GA

$117K - $155K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and ...

Senior AI Software Engineer

Atlanta, GA

$117K - $155K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and ...

Senior AI Software Engineer

Atlanta, GA ยท On-site

$117K - $155K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

We are looking for a Principal Software Engineer to help lead the architecture, execution, and ... Use coding agents and AI-assisted across design, implementation, testing, documentation, migration ...

Collaborate with engineers, product managers, and other stakeholders to develop software solutions ... Leverage AI-powered development tools and automation technologies to improve productivity, code ...

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Showing results 1-20

Trainee Ai Software Engineer information

What does a trainee AI software engineer do?

A Trainee AI Software Engineer is an entry-level professional who assists in designing, developing, and testing artificial intelligence models and applications. They often work under the supervision of senior engineers, learning to implement machine learning algorithms, process data, and contribute to AI projects. This role is ideal for those looking to gain practical experience while building a foundation in AI concepts and software engineering practices. Trainees also collaborate with other team members, participate in code reviews, and may assist in research or prototyping new AI solutions.

What are the key skills and qualifications needed to thrive as a trainee AI software engineer, and why are they important?

To thrive as a Trainee AI Software Engineer, you need a solid understanding of programming languages (such as Python or Java), foundational knowledge of algorithms, data structures, and basic principles of machine learning, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks and tools like TensorFlow, PyTorch, and version control systems such as Git is highly beneficial. Strong analytical thinking, problem-solving ability, and a willingness to learn help you adapt quickly and collaborate effectively on technical teams. These skills and qualities are crucial for successfully contributing to AI development projects and keeping pace with rapidly evolving technology.

What are some common challenges faced by trainee AI software engineers, and how can they be addressed?

Trainee AI Software Engineers often encounter challenges such as understanding complex machine learning algorithms, adapting to rapidly evolving technologies, and bridging the gap between theoretical knowledge and practical implementation. To address these, it's helpful to actively seek mentorship from senior engineers, participate in code reviews, and dedicate time to hands-on projects or Kaggle competitions. Additionally, regularly collaborating with data scientists and software development teams can accelerate your learning and help you gain practical insights into real-world AI applications.

What is the difference between Trainee Ai Software Engineer vs Junior Ai Developer?

AspectTrainee Ai Software EngineerJunior Ai Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldEntry-level, often with a degree or equivalent experience
Work EnvironmentTraining programs, mentorship, supervised projectsReal-world projects, team collaboration, task execution
Employer & Industry UsageInternships, training programs in tech companies, startupsTech companies, AI startups, research labs

The main difference is that a Trainee Ai Software Engineer is in a learning or training phase, focusing on gaining skills under supervision, while a Junior Ai Developer has more hands-on experience and is responsible for developing AI solutions independently within a team.

Can you be a Trainee AI Software Engineer with no experience?

Yes, it is possible to become a Trainee AI Software Engineer with no prior experience, as many entry-level positions focus on potential and willingness to learn. Candidates often need foundational knowledge in programming, such as Python or Java, and may benefit from online courses or certifications in AI and machine learning. Employers may provide on-the-job training to develop necessary skills.

What are the most commonly searched types of Ai Software Engineer jobs in Georgia?

The most popular types of Ai Software Engineer jobs in Georgia are:

What cities in Georgia are hiring for Trainee Ai Software Engineer jobs?

Cities in Georgia with the most Trainee Ai Software Engineer job openings:

Infographic showing various Trainee Ai Software Engineer job openings in Georgia as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 68% In-person, 13% Hybrid, and 19% Remote job distribution.

AI Software Engineer Expert - Remote

Atlanta, GA โ€ข Remote

$100 - $200/hr

Part-time

Posted 20 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.