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Internship Ai Support Jobs in Boca Raton, FL (NOW HIRING)

Armaninollp

Data & AI Platform Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

Support day-to-day operations for cloud data platforms (workspace/project setup, access requests ... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ...

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How much do internship ai support jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for internship ai support in Boca Raton, FL is $15.91, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $17.55 per hour, depending on experience, location, and employer.

What is an internship AI support?

An Internship AI Support role typically involves assisting teams that develop, deploy, or maintain artificial intelligence systems. Interns in this position may help with data preparation, model testing, documentation, troubleshooting, and supporting users or developers working with AI solutions. This role is designed to give students or recent graduates hands-on experience with AI technologies while providing valuable support to the team. Responsibilities can vary depending on the company, but usually include both technical and communication tasks.

What kind of projects or tasks can I expect to work on during an internship AI support?

As an AI Support Intern, you will typically assist with tasks such as data preparation and cleaning, testing and evaluating AI models, documenting processes, and supporting team members with research or troubleshooting. You may also help respond to user inquiries, monitor AI system performance, and contribute to the development of training materials. These responsibilities offer hands-on experience and exposure to practical aspects of AI deployment, often working closely with data scientists, engineers, and product managers in a collaborative, learning-focused environment.

What are the key skills and qualifications needed to thrive as an internship AI support, and why are they important?

To thrive as an AI Support Intern, you need foundational knowledge in computer science, problem-solving abilities, and familiarity with artificial intelligence concepts, often supported by ongoing or completed coursework in related fields. Proficiency with tools such as Python, machine learning frameworks (like TensorFlow or PyTorch), and ticketing or customer support systems is highly beneficial. Strong communication, willingness to learn, and collaboration skills help interns excel in supporting users and working with technical teams. These skills ensure effective troubleshooting, contribute to smooth AI operations, and foster professional growth within a dynamic tech environment.

What is the difference between Internship Ai Support vs Data Analyst Intern?

AspectInternship Ai SupportData Analyst Intern
Required CredentialsBasic understanding of AI tools, programming basicsBasic statistics, Excel, data visualization
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, marketing departments
Employer & Industry UsageAI development, tech firms, research labsCorporate, consulting, market research

Internship Ai Support and Data Analyst Intern roles often share foundational skills like data handling and basic technical knowledge. However, Ai Support internships focus more on assisting with AI tools and support tasks, while Data Analyst Internships emphasize data analysis and reporting. Both roles serve different industry needs but can overlap in technical skills and work environments.

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Cities near Boca Raton, FL with the most Internship Ai Support job openings:

Internship Ai Support jobs near you

Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Sun

American Express

Sunrise, FL • On-site

$78K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 154 rated financial services

Job description


At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you'll join a full-time graduate program and contribute to technology work that helps teams explore, build, test, and responsibly scale AI-enabled solutions.
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. You'll collaborate with engineering, product, data, security, risk, and business partners to help deliver enterprise AI solutions responsibly, reliably, and securely.
Responsibilities
Responsibilities & What Type of Work to Expect
  • Support the development, testing, and integration of AI / ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance.
  • Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation, and implementation.
  • Contribute to debugging and improving AI enabled solutions to strengthen performance, reliability, explainability, maintainability, and quality.
  • Support AI capabilities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, AI agents, or agentic workflows.
  • Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned to business requirements.
  • Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions to support reproducibility and knowledge sharing.
  • Participate in Agile development practices, including sprint planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies.
  • Assist in ensuring AI systems and AI-enabled features align with enterprise expectations for reliability, safety, governance, security, compliance, and appropriate escalation.

Qualifications
Minimum Qualifications
  • Must have earned a Master's degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before June 2027.
  • Knowledge of Python and foundational data processing technologies.
  • Foundational understanding of computer science concepts, including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
  • Foundational understanding of machine learning concepts such as supervised learning, unsupervised learning, model training, evaluation, feature engineering, and experimentation.
  • Introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications.
  • Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.
  • Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when work is unclear or outside standard guidance.
  • Strong communication, collaboration, documentation, and learning agility with the ability to work effectively across technical and non-technical teams.

Preferred Qualifications
  • Experience through academic coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
  • Interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI, or AI-enabled software development.
  • Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, LLMs, or other modern language models.
  • Exposure to LLM APIs or similar AI models, including prompt engineering, prompt evaluation, tools, function calling, retrieval patterns, or agent workflow concepts.
  • Experience or coursework involving machine learning algorithms and applying them to practical or real-world problems.
  • Familiarity with APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment patterns, or monitoring.
  • Awareness of CI/CD, version control, testing, code reviews, Agile development, and collaborative software engineering workflows.
  • Exposure to version control systems such as Git and collaborative software development workflows.
  • Curiosity for AI powered developer tools, responsible AI practices, governance, security, model documentation, and enterprise-scale delivery.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About the Team
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the "Know Your Rights" poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.
The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

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