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Data Annotation Engineer Jobs in Florida (NOW HIRING)

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL · On-site

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Collaborate with software engineering teams to integrate trained models into Java/Python-based ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL · On-site

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Collaborate with software engineering teams to integrate trained models into Java/Python-based ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Collaborate with software engineering teams to integrate trained models into Java/Python-based ...

J.P. Morgan

Applied AI/ML Lead

Tampa, FL

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Collaborate with software engineering teams to integrate trained models into Java/Python-based ...

Next Frontier Capital

Applied AI/ML Lead

Tampa, FL · On-site

$200 - $250/hr

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Collaborate with software engineering teams to integrate trained models into Java/Python‑based ...

Phiston Technologies, Inc.

Be Seen First

Embedded Software Engineer

Miramar, FL · On-site

$110K - $135K/yr

... external engineering vendors contributing to these programs. This is a hands-on individual ... Build and maintain the data pipeline behind the models: capture, annotation standards, augmentation ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Florida

Data Annotation Engineer information

See Florida salary details

$38.5K

$110.2K

$147.2K

How much do data annotation engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data annotation engineer in Florida is $110,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive as a data annotation engineer?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in Florida?

For Data Annotation Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Florida look for?

The top searched job categories for Data Annotation Engineer jobs in Florida are:

What cities in Florida are hiring for Data Annotation Engineer jobs?

Cities in Florida with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $110,196 per year, or $53 per hour.

Junior/Middle Computer Vision Engineer ID72410

Miami, FL • On-site

AgileEngine, LLC.
Software Development • 201 - 500 employees
Learn more about AgileEngine, LLC.external

$80 - $100/hr

Other

Posted 18 days ago

Job description

Full time | AgileEngine | United States

Posted On 08/20/2026

Job Information

City Miami

State/Province Florida

33101

IT Services

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 Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
  • Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
  • Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
  • Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
  • Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
  • Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.
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;
  • 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
  • Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
  • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • Foundational coding skills in Python;
  • Foundational understanding of machine learning concepts and workflows;
  • Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
  • Basic familiarity with cloud environments and compute resources;
  • A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
  • Excellent attention to detail, specifically regarding data quality and documentation;
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.
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