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Internship Ai Data Annotation Jobs in Georgia (NOW HIRING)

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

Required : • Currently pursuing a degree with exposure to programming, data, or AI through coursework, projects, or internships • Interest, coursework, or experience in Computer Science ...

Kaleris

AI Engineer Student Advisor

Alpharetta, GA

Currently pursuing a degree with exposure to programming, data, or AI through coursework, projects, or internships * Interest, coursework, or experience in Computer Science, Information Technology ...

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Conduct data mining to extract valuable insights from large datasets. * Collaborate with cross ... Experience mentoring junior colleagues and interns.

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

Currently pursuing a degree with exposure to programming, data, or AI through coursework, projects, or internships * Interest, coursework, or experience in Computer Science, Information Technology ...

Genpact

AI Engineer 4A

Atlanta, GA · On-site

Understanding of Data Structures and Algorithms * Basic knowledge of software development lifecycle (SDLC) * Internship or project experience in: * Generative AI applications * AI chatbots or virtual ...

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Internship Ai Data Annotation information

What are the typical challenges faced during an AI data annotation internship, and how can I overcome them?

As an AI Data Annotation intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex annotation guidelines, and adapting to evolving project requirements. It's important to regularly communicate with your team lead or project manager to clarify any uncertainties and ensure consistency in your annotations. Leveraging available training materials and asking for feedback will help you improve your efficiency and accuracy, turning these challenges into valuable learning experiences.

What is an AI data annotation internship?

An AI Data Annotation Internship is a temporary position where interns help label, tag, or categorize data (such as images, text, or audio) to train and improve artificial intelligence models. Interns typically work with datasets, ensuring that the information provided is accurate and consistent, which is crucial for machine learning algorithms to learn effectively. The role is a valuable entry point for those interested in AI, machine learning, or data science, as it offers hands-on experience with the foundational work needed to build intelligent systems.

What is the difference between Internship Ai Data Annotation vs Data Labeler?

AspectInternship Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal formal education required
Work EnvironmentOffice or remote; supervised tasks, often part-time or temporaryOffice or remote; repetitive tasks, often entry-level
Industry UsageTech companies, AI startups, research projectsTech firms, data companies, AI development teams
Search & Comparison IntentUnderstanding entry-level roles in AI data annotationComparing entry-level data labeling jobs in AI

Internship Ai Data Annotation roles typically involve supervised, short-term tasks aimed at gaining experience in AI data preparation. Data Labeler positions are similar entry-level roles focused on labeling data for machine learning. Both roles require basic skills and are used across tech and AI industries, but internships often offer more training and learning opportunities.

What are the key skills and qualifications needed to thrive as an AI data annotation intern?

To thrive as an Internship AI Data Annotation specialist, you need attention to detail, basic computer literacy, and a foundational understanding of data labeling concepts, often supported by ongoing training or coursework in data science or computer science. Familiarity with annotation tools like Labelbox, Supervisely, or VIA, and knowledge of data management platforms are commonly required. Strong organizational skills, patience, and effective communication help you manage repetitive tasks and collaborate with team members. These skills are essential to ensure high-quality data labeling, which directly impacts the performance and accuracy of AI models.
What are the most commonly searched types of Ai Data Annotation jobs in Georgia? The most popular types of Ai Data Annotation jobs in Georgia are:
What are popular job titles related to Internship Ai Data Annotation jobs in Georgia? For Internship Ai Data Annotation jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Internship Ai Data Annotation jobs in Georgia look for? The top searched job categories for Internship Ai Data Annotation jobs in Georgia are:
What cities in Georgia are hiring for Internship Ai Data Annotation jobs? Cities in Georgia with the most Internship Ai Data Annotation job openings:
Internship Ai Data Annotation jobs near you
Infographic showing various Internship Ai Data Annotation job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Gen AI Subject Matter Expert

Scientific Research Corporation

Augusta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 hours ago

Job description

Description
Scientific Research Corporation (SRC) is seeking a highly experienced Subject Matter Expert (SME) in secure, hardened Generative AI to support the Test Resource Management Center's operation of the Artificial Intelligence Digital Engineering Test Laboratory (AIDETL) in Augusta, Georgia. This role will be pivotal in developing the next generation of government AI Test & Evaluation professionals for the Department of War. The Subject Matter Expert - GenAI serves as the authoritative voice on all matters related to the secure deployment, configuration, and optimization of Generative AI solutions within the AIDETL's operational environment. The ideal candidate is a motivated self-starter with good interpersonal skills and the willingness to mentor interns. In addition, the candidate must possess an intimate understanding of the Generative AI field, including large language models (LLMs), retrieval-augmented generation (RAG), agentic AI architectures, and secure AI governance frameworks.
Responsibilities will include, but may not be limited to:
  • Serving as the primary Subject Matter Expert on secure, hardened Generative AI for the AIDETL Interns and staff, providing authoritative guidance on AI strategy, architecture, policy, and implementation aligned with the AIDETL's mission objectives.
  • Providing expert-level training, workshops, and briefings to AIDETL Interns on Generative AI concepts, secure AI best practices.
  • Architect, develop, and demonstrate advanced Generative AI Agents, plugins, and automated workflows using Python, Claude Code, OpenClaw, and related frameworks.
  • Advising on and enforce security hardening practices for all Generative AI deployments, ensuring compliance with cybersecurity policies and all applicable federal security standards.
  • Evaluating emerging Generative AI models, tools, and techniques, including but not limited to large language models, multimodal AI, and agentic frameworks, and provide actionable recommendations for secure integration into various environments.
  • Developing and maintain comprehensive documentation, including solution architectures, security plans, standard operating procedures, and best practice guides tailored to operational and regulatory requirements.
  • Collaborating with cross-functional teams, including cybersecurity, IT operations, data science, and mission stakeholders, to integrate Generative AI solutions into existing systems and infrastructure securely and effectively.
  • Stay at the forefront of the Generative AI field, continuously monitoring advancements in AI safety, alignment, prompt engineering, secure coding practices, and government AI policy to maintain subject matter authority.
  • Implementing best practices for code quality, security (including strong knowledge of common vulnerabilities such as prompt injection, data exfiltration, and model manipulation), and performance optimization across all AI solutions.
  • Writing clean, efficient, and maintainable code with an unwavering focus on security, data privacy, and compliance with all relevant customer's data handling requirements.
  • Assisting in AIDETL curriculum development.

FILLING THIS POSITION IS CONTINGENT UPON FUNDING
#LI-HK1
Requirements
  • Secret clearance required
  • Minimum of 7 years of relevant experience in software engineering, AI/ML, cybersecurity, or a closely related technical discipline; at least 2 years of focused experience in Generative AI technologies and secure AI deployment preferred.
  • Demonstrated deep expertise in the Generative AI landscape, including large language models (e.g., Claude, GPT-series, open-source models), prompt engineering, RAG architectures, fine-tuning, and agentic AI frameworks.
  • Proficiency in coding with Python and practical experience utilizing Claude Code and OpenClaw technologies to build, test, and deploy secure AI solutions.
  • Strong knowledge of federal cybersecurity frameworks and compliance requirements, including but not limited to FedRAMP High.
  • Ability to communicate complex Generative AI concepts clearly and persuasively to both technical and non-technical stakeholders, including senior government leadership and interns.
  • Strong project management skills with the ability to own initiative execution from start to finish, adapting to evolving AIDETL curriculum needs and mission priorities.
  • Must have the ability to work from the AIDETL location on an as-needed basis, up to and including daily, with a willingness to travel as needed to meet mission objectives.

Desired Skills
  • Experience working within or supporting government customers or defense industrial base environments is preferred.

Clearance Information
SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL
Travel Requirements
  • 10% travel primarily to Academic institutions, but also to cyber and physical ranges or industry events

About Us
Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.
SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals with amounts increasing based on role and years of service, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
EEO
Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment.
All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected characteristic under federal, state or local law.
Scientific Research Corporation endeavors to make www.scires.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact jobs@scires.com for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

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