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Internship Ai Data Annotation Jobs in Boca Raton, FL

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Experience with data analytics is strongly desired * Relevant work experience (e.g. internships ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Experience with data analytics is strongly desired * Relevant work experience (e.g. internships ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Experience with data analytics is strongly desired * Relevant work experience (e.g. internships ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Experience with data analytics is strongly desired * Relevant work experience (e.g. internships ...

Digital literacy with exposure to basic AI/ML and use in day-to-day work * Foundational ... Strong documentation, attention to detail, and data integrity mindset. The Microbiology & Cleaning ...

Proficiency in SQL or other data analysis tools * Internship or early-career experience in e ... Experience leveraging AI tools to improve efficiency and decision-making #LI-BB2 The base salary ...

Accounting Manager

Davie, FL ยท On-site

$68K - $80K/yr

We welcome sharp recent graduates with strong internship experience or accomplished bookkeepers ... Data & Analytics: Solid proficiency in Microsoft Excel (ability to use formulas, sort data, and ...

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Internship Ai Data Annotation information

See Boca Raton, FL salary details

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How much do internship ai data annotation jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for internship ai data annotation in Boca Raton, FL is $21.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.27 per hour, depending on experience, location, and employer.

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 Internship AI Data Annotation specialist, and why are they important?

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 popular job titles related to Internship Ai Data Annotation jobs in Boca Raton, FL? For Internship Ai Data Annotation jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Internship Ai Data Annotation jobs in Boca Raton, FL look for? The top searched job categories for Internship Ai Data Annotation jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Internship Ai Data Annotation jobs? Cities near Boca Raton, FL with the most Internship Ai Data Annotation job openings:
Taxonomy Analyst (Dutch Speaker)

Taxonomy Analyst (Dutch Speaker)

AgileEngine

West Palm Beach, FL โ€ข On-site

Other

Posted 4 days ago


Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Taxonomy Analyst with Dutch fluency to review, annotate, and classify high-volume job and resume datasets according to strict taxonomy guidelines for an HR tech platform serving the Netherlands and Belgium. You will standardize job titles, map occupations, validate metadata, and perform systematic data cleanup while ensuring cultural, linguistic, and regional relevance across Dutch-speaking markets. The role requires outstanding attention to detail, sharp pattern recognition, and deep knowledge of regional language nuances.
WHAT YOU WILL DO
- Review, annotate, and classify high-volume datasets (job descriptions, resumes, and candidate profiles) aligning with established taxonomy guidelines;
- Support taxonomy operations by standardizing job titles, mapping occupations, and validating complex metadata to ensure consistent and accurate system outputs;
- Identify linguistic or structural data patterns;
- Perform systematic data cleanup;
- Handle validation tasks on large-scale datasets;
- Cross-reference and validate Dutch content, ensuring regional relevance across the Netherlands and Belgium;
- Handle Flemish nuances and Netherlands Dutch professional terminology;
- Communicate data insights;
- Track edge cases;
- Provide written feedback on guidelines in English via Slack and team syncs.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3+ years of proven experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation;
- Native-level fluency in Dutch;
- Strong professional communication skills in English (written and spoken) for daily team collaboration and data feedback;
- Outstanding attention to detail, sharp pattern recognition skills, and the ability to exercise sound judgment when handling ambiguous data points;
- Extensive experience reviewing and navigating high-volume, complex datasets.
NICE TO HAVES
- Deep market knowledge of the professional and recruitment landscapes in the Netherlands and/or Belgium (Flemish market);
- Specialized background or knowledge in HR / job taxonomy (occupational mapping, labor market frameworks like ESCO);
- Proficiency with Excel, Google Sheets, or basic SQL queries;
- Hands-on experience working with LLMs / AI tools (e.g., ChatGPT, Gemini, Claude) for data curation, model evaluation, or prompt validation.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Meet Our Recruitment Process
Application โ†’ Coding Challenge โ†’ Video Interview โ†’ Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it's a match, you'll receive an offer.