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Library Science Internship Jobs in Atlanta, GA (NOW HIRING)

IntelliTrans

Applied AI Engineer

Atlanta, GA · On-site

... science (combination of internships and professional experience considered). * Demonstrated ... Experience creating and deploying AI Agents to production using Agentic Libraries and platforms

IntelliTrans

Applied AI Engineer

Atlanta, GA

... science (combination of internships and professional experience considered). * Demonstrated ... Experience creating and deploying AI Agents to production using Agentic Libraries and platforms

Aderant

Associate Software Engineer

Atlanta, GA · On-site

Contribute to internal tooling, prompt libraries, and team playbooks that help everyone use AI more ... A bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent ...

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Library Science Internship information

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How much do library science internship jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for library science internship in Atlanta, GA is $14.95, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $16.88 per hour, depending on experience, location, and employer.

What is the difference between Library Science Internship vs Library Technician?

AspectLibrary Science InternshipLibrary Technician
Required CredentialsTypically pursuing or recent graduate in Library Science or related fieldPost-secondary education or certification in library technology
Work EnvironmentAcademic, public, or special libraries; often temporary or part-timePublic, academic, or special libraries; full-time or part-time roles
Employer & Industry UsageInternship programs for students or recent grads to gain experienceFull-time or part-time staff supporting library operations
Search & Comparison IntentLearning about entry-level or training roles in librariesUnderstanding career pathways or job requirements in libraries

In summary, a Library Science Internship is a temporary, educational position aimed at students or recent graduates to gain practical experience. A Library Technician is a more permanent role requiring specific certifications or education, supporting daily library functions. Both roles are integral to library operations but differ mainly in experience level and employment status.

What is a Library Science Internship?

A Library Science Internship is a temporary, supervised work experience in a library or related information setting, designed for students or recent graduates studying library and information science. Interns gain practical skills in areas such as cataloging, reference services, archival work, and digital resource management. These internships help bridge the gap between academic studies and professional practice, providing valuable hands-on experience and networking opportunities. Many library science programs require or strongly encourage internships as part of their curriculum.

What are the key skills and qualifications needed to thrive as a Library Science Intern, and why are they important?

To thrive as a Library Science Intern, you need foundational knowledge in library systems, information organization, and research methods, typically gained through coursework in library science or a related field. Familiarity with integrated library systems (ILS), cataloging tools, and digital resource management platforms is often required. Strong attention to detail, communication, and a customer-service mindset are essential soft skills for this role. These capabilities ensure effective support for library operations, quality service for patrons, and efficient management of library resources.

What types of projects or responsibilities can interns expect during a Library Science Internship?

Library Science interns typically engage in a variety of hands-on projects that provide insight into both public-facing and behind-the-scenes aspects of library operations. Common responsibilities include assisting with cataloging and organizing library materials, supporting reference and research services, helping to plan and implement community programs, and working with digital resources and databases. Interns often collaborate with librarians, IT staff, and patrons, offering opportunities to develop professional skills and gain exposure to different library specializations. These diverse tasks help interns build a broad foundation for potential future roles in the library field.
What are popular job titles related to Library Science Internship jobs in Atlanta, GA? For Library Science Internship jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Library Science Internship jobs in Atlanta, GA look for? The top searched job categories for Library Science Internship jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Library Science Internship jobs? Cities near Atlanta, GA with the most Library Science Internship job openings:
Library Science Internship jobs near you
Infographic showing various Library Science Internship job openings in Atlanta, GA as of June 2026, with employment types broken down into 17% Internship, 50% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $31,093 per year, or $14.9 per hour.
Applied AI Engineer

Applied AI Engineer

IntelliTrans

Atlanta, GA • On-site

Full-time

Posted yesterday

Job description

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc. (NYSE: ROP) is seeking an Applied AI Engineer to join our team, hybrid in Atlanta, GA.
Position Summary: The Applied AI Engineer a key member of the AI and Data Science Team, responsible for designing, developing, and deploying production AI/ML systems that power IntelliTrans' intelligent freight management platform. This role blends applied AI engineering with data science fundamentals, including building and evaluating agentic AI systems, developing LLM-powered features, designing ML pipelines, and creating intelligent automation workflows. The ideal candidate is comfortable operating across the full spectrum from exploratory data analysis to production AI system deployment and is energized by applying AI to real-world logistics challenges.
Essential Duties and Responsibilities:
AI/ML Engineering and Agentic AI
  • Design, build, and evaluate agentic AI systems using Agentic AI platforms and related frameworks for freight management use cases (e.g., shipment exception handling, real time visibility, ETA intelligence).
  • Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and tool-calling agents integrated into workflows
  • Build and maintain ML model evaluation frameworks with structured metrics, AI-assisted judges, and human feedback loops modern frameworks and DB Catalog tools
  • Contribute to developing browser automation + AI hybrid systems, including data extraction pipelines using Playwright and Claude.

Data Science and Analytics
  • Analyze complex, large-scale freight and logistics datasets to generate actionable business insights for internal stakeholders and customers.
  • Develop and maintain predictive models for supply chain KPIs, including ETA prediction, freight audit anomaly detection, and shipment pattern analysis.
  • Support IntelliTrans' data streaming strategy by designing data pipelines and feature engineering workflows that bridge the System of Record and System of Intelligence layers.
  • Build and iterate on dashboards and analytical tools using SQL, Analytics, and supporting visualization platforms.

Platform and Infrastructure
  • Develop production-grade Python services (FastAPI, async patterns) that integrate ML models and AI agents into the IntelliTrans platform.
  • Collaborate with the architecture team on AWS cloud infrastructure (ECS Fargate, SQS, S3, CloudWatch, Terraform) for model deployment and agent runtime scaling.
  • Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps best practices for model lifecycle management.

Collaboration and Strategy
  • Partner with Product Management to translate the AI agent roadmap into technical specifications and delivery plans aligned with IntelliTrans' 3-5 year data and AI strategy.
  • Use modern Code Assistance tools such as Claude Code to write software.
  • Effectively handle multiple projects simultaneously in a deadline-driven environment.

QUALIFICATIONS AND BACKGROUND
Education: Bachelor's degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or related discipline required. Master's degree in a quantitative field (Data Science, AI/ML, Engineering, Mathematics, or Statistics) preferred.
Experience: Minimum 2-4 years of professional experience in AI engineering, ML engineering, or applied data science (combination of internships and professional experience considered).
  • Demonstrated experience building and deploying AI systems, ML models, or LLM-powered applications in a production environment.
  • Experience with modern data platforms, preferably Databricks (Delta Lake, MLflow, Unity Catalog) or equivalent (Snowflake, AWS SageMaker).
  • Experience in supply chain, logistics, freight management, or transportation technology is strongly preferred.
  • Hands-on experience with agentic AI concepts, LLM integration patterns, or RAG architecture is preferred.

Desired Skills:
  • Strong proficiency in Python, including experience with FastAPI, pandas, scikit-learn, and async programming patterns.
  • Solid working knowledge of SQL and experience with relational databases (PostgreSQL preferred, Oracle experience a plus).
  • Experience with cloud platforms, primarily AWS (ECS, S3, SQS, Lambda, CloudWatch, Bedrock).
  • Familiarity with ML experiment tracking, model versioning, and MLOps workflows (MLflow preferred).
  • Proficiency with approaches to statistical analysis, mathematical modeling, and data visualization.
  • Experience creating and deploying AI Agents to production using Agentic Libraries and platforms
  • Knowledge of Infrastructure as Code (Terraform), containerization (Docker), and CI/CD pipelines (GitLab).
  • Experience with observability tools (OpenTelemetry, CloudWatch, structlog) for production ML systems.
  • Familiarity with document intelligence, and multimodal AI capabilities.

Soft Skills:
  • Strong analytical and problem-solving abilities with the capacity to operate across ambiguity.
  • Excellent communication skills, including the ability to present complex technical results to executive and non-technical audiences.
  • Self-directed learner comfortable rapidly adopting emerging AI/ML technologies and frameworks.
  • Collaborative mindset suited to cross-functional, agile team environments.
  • Intellectual curiosity about logistics, supply chain, and freight management domain problems.

Additional Information:
Location:
Atlanta, Georgia (Hybrid)
Reports To:
Data Science Manager
Team:
AI and Data Science Team (cross-functional: developers, architects, data scientists, scrum master, DBA)
Methodology:
Agile / Scrum with PI Planning cadence
Key Tools:
Databricks, Python, AWS, Claude API, FastAPI, Playwright, MLflow, Terraform, Docker, GitLab, SageMaker
IntelliTrans supports workforce diversity and is a committed equal opportunity. / Affirmative action employer.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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