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Intern Data Annotation Tech Jobs in Tampa, FL (NOW HIRING)

Tetra Tech

Engineering Assistant Intern - Tampa

Tampa, FL · On-site

$15.75 - $20.50/hr

Must have strong abilities in mathematics, sciences, computer software, and data file organization ... Ardaman is a wholly owned subsidiary of Tetra Tech, who is a VEVRAA federal contractor and we ...

Tetra Tech

Engineering Assistant Intern - Tampa

Tampa, FL

$15.75 - $20.50/hr

Must have strong abilities in mathematics, sciences, computer software, and data file organization ... Ardaman is a wholly owned subsidiary of Tetra Tech, who is a VEVRAA federal contractor and we ...

JP Morgan Chase

Data Scientist Lead

Tampa, FL

... OCR technologies, and multimodal document understanding models. This role involves managing the ... Establish best practices for annotation quality management, training data curation, active learning ...

New

Axogen

Intern, Operations (Fall 2026)

Tampa, FL

$20/hr

Experience designing experiments, analyzing data, or developing technical recommendations. * CAD ... Conducting literature reviews and technology assessments of commercially available automation ...

BayCare

CT Technologist Intern

Plant City, FL

We blend high-tech with high touch in ways that are advancing superior health care throughout the ... Responsible for all duties related to imaging patient care, RIS data management, file room, general ...

Axogen

Intern, Medical Affairs (Fall 2026)

Tampa, FL · On-site

$20/hr

Familiarity with data analysis and statistical methods. * Strong problem-solving skills and ... Project Details The intern will support research initiatives related to medical technologies ...

Axogen

Intern, Operations (Fall 2026)

Tampa, FL · On-site

$20/hr

Experience designing experiments, analyzing data, or developing technical recommendations. * CAD ... Conducting literature reviews and technology assessments of commercially available automation ...

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Tampa, FL

Intern Data Annotation Tech information

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The hiring process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages varying based on experience, project complexity, and platform. Many entry-level roles pay hourly or per task, and some companies offer full-time or freelance opportunities with competitive rates. Skills in annotation tools and attention to detail can influence earning potential.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve performance in this role.

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

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in Tampa, FL? The most popular types of Data Annotation Tech jobs in Tampa, FL are:
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Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Tampa, FL as of August 2026, with employment types broken down into 15% Internship, 39% Full Time, 38% Part Time, and 8% Temporary. Highlights an 85% In-person, and 15% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Tampa, FL • Remote

$20/hr

Contractor

Posted 10 days ago

Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology

Apply