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Internship Ai Data Labeling Jobs in Florida (NOW HIRING)

Design Interactive

Internship Opportunities

Orlando, FL · On-site +1

$14 - $18.75/hr

... AI), and data-driven training systems to improve decision-making, performance, and safety. Our ... Interns: Build Your Future with Us Are you ready to make an impact? Even if you don't see the ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... labeling strategies for training data, ensuring high-quality ground truth datasets for image ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL · On-site

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... labeling strategies for training data, ensuring high-quality ground truth datasets for image ...

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL · On-site

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... labeling strategies for training data, ensuring high-quality ground truth datasets for image ...

J.P. Morgan

Applied AI/ML Lead

Tampa, FL

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... labeling strategies for training data, ensuring high-quality ground truth datasets for image ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Content Critical Solutions

AI Engineer

Fort Lauderdale, FL · On-site

$60 - $110/hr

Data validation and enrichment * Intelligent document processing * AI-assisted development or ... interns, or any other covered persons because of age, race, creed, color, religion, sex, including ...

Apptad, Inc.

AI testing Engineer

Tampa, FL · On-site +1

Key Responsibilities Validate AI-generated outputs against labelled datasets and expected outcomes ... S3 (data storage).Lambda (processing).CloudWatch (monitoring) Required Skills & Experience: Strong ...

New

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next ... This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ...

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Internship Ai Data Labeling information

What is the difference between Internship Ai Data Labeling vs Data Annotation Specialist?

AspectInternship Ai Data LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; some technical skillsHigh school diploma or higher; technical skills often preferred
Work EnvironmentEntry-level, training-focused, often remote or in-officeProfessional setting, may be remote or on-site, more independent
Employer & Industry UsageTech companies, AI startups, research projectsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in AI data labelingClarifying professional data annotation roles

Internship Ai Data Labeling typically refers to entry-level, training-focused positions aimed at gaining experience in labeling data for AI models. Data Annotation Specialist is a more experienced, professional role involving detailed data labeling tasks. Both roles are essential in AI development, but internships are designed for beginners, while specialists have more responsibility and expertise.

What is an AI data labeling internship?

An AI Data Labeling Internship is a temporary position where interns assist in preparing datasets for machine learning models by accurately annotating, categorizing, or tagging data such as images, text, or audio. Interns learn about the fundamentals of artificial intelligence and the importance of high-quality labeled data in training algorithms. This role is ideal for students or recent graduates interested in AI, data science, or related fields, and provides hands-on experience with data preparation and quality assurance processes.

What are some common challenges faced during an AI data labeling internship, and how can I overcome them?

As an AI Data Labeling intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex labeling guidelines, and managing repetitive tasks without losing focus. To overcome these, it's helpful to regularly review the instructions, seek feedback from your team lead, and use productivity techniques to stay engaged. Collaborating with other interns and attending team meetings can also provide valuable insights and help you address uncertainties quickly.

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

To thrive as an AI Data Labeling Intern, you need attention to detail, basic data analysis skills, and familiarity with data annotation concepts, often supported by a background in computer science or related fields. Experience using annotation platforms, spreadsheets, and sometimes specific labeling software is common, though formal certifications are not usually required. Strong communication, time management, and the ability to follow detailed guidelines set high performers apart in this role. These skills ensure accurate, high-quality data sets that are essential for training reliable AI models.
What are the most commonly searched types of Ai Data Labeling jobs in Florida? The most popular types of Ai Data Labeling jobs in Florida are:
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Internship Ai Data Labeling jobs near you
Infographic showing various Internship Ai Data Labeling job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Information Technology_USA - USA_Analyst

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted yesterday

Job description

2 Candidate Submittal Slots, New High Level Policy
MSP Owner: Rob Finton
Location: Parsipanny, NJ
Duration: 6 months
skill id: 10682630
Competencies: 8+ years experience required
Digital : Amazon Web Service(AWS) Cloud Computing
Digital : Kafka
Digital : ReactJS
Digital : Adobe Experience Manager (AEM)
Next JS
Microsoft Fabric Lead - Job Description
Role Summary
The Microsoft Fabric Lead will architect, lead, and deliver enterprise-scale analytics and AI-enabled data solutions using Microsoft Fabric and Microsoft AI Foundry. This role owns the end-to-end data and AI platform strategy, including the creation of data agents, AI-powered insights, and autonomous analytics workflows integrated with governed enterprise data.
Key Responsibilities - Platform Architecture & Strategy
Lead the design and implementation of enterprise analytics and AI solutions using Microsoft Fabric and Microsoft AI Foundry. Define reference architectures combining Lakehouse, Warehouse, semantic models, and AI agents. Establish best practices for AI-ready data architecture leveraging OneLake and drive the Fabric + AI Foundry adoption roadmap.
Data Engineering & Integration
Design and oversee scalable data ingestion, transformation, and orchestration pipelines using Fabric Data Pipelines, Spark/Notebooks, and Azure Data Factory. Ensure high-quality, AI-ready datasets that can be safely consumed by data agents and copilots.
AI, Data Agents & Microsoft AI Foundry
Design and develop data agents that reason over enterprise data, automate analytics workflows, and provide conversational insights. Integrate Fabric data assets with Microsoft AI Foundry using RAG and agent orchestration patterns while ensuring responsible AI and security compliance.
Analytics & BI Enablement
Lead Power BI semantic model design within Fabric, enabling governed self-service analytics and AI-driven insights within dashboards and reports.
Governance, Security & Compliance
Define governance standards for data and AI agents including lineage, sensitivity labeling, access control, and compliance with enterprise security and responsible AI policies.
Technical Leadership & Stakeholder Engagement
Serve as the technical authority for Fabric and AI solutions, mentor engineering teams, conduct architecture reviews, and translate business requirements into scalable data and AI solutions.
Required Skills
Strong hands-on experience with Microsoft Fabric, OneLake, Lakehouse, Warehouses, Power BI, SQL, PySpark, Python, and integration with Microsoft AI Foundry. Proven experience in modern data architectures and leadership of enterprise data platforms., Project Code :

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