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Data Annotation Tech Jobs in Florida (NOW HIRING)

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Data Annotation Tech information

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$9

$17

$26

How much do data annotation tech jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for data annotation tech in Florida is $17.07, according to ZipRecruiter salary data. Most workers in this role earn between $12.60 and $20.29 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Annotation Tech position, and why are they important?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

Is data annotation legit or not?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of AI development projects, making it a valid employment option.
What are the most commonly searched types of Data Annotation Tech jobs in Florida? The most popular types of Data Annotation Tech jobs in Florida are:
What are popular job titles related to Data Annotation Tech jobs in Florida? For Data Annotation Tech jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Data Annotation Tech jobs? Cities in Florida with the most Data Annotation Tech job openings:
Infographic showing various Data Annotation Tech job openings in Florida as of May 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $35,505 per year, or $17.1 per hour.
RESEARCH SOFTWARE ENGINEER

RESEARCH SOFTWARE ENGINEER

H. Lee Moffitt Cancer Center

Tampa, FL • On-site, Remote

$186K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

72nd of 867 rated healthcare providers


Job description

The Biostatistics & Bioinformatics Shared Resource (BBSR) is seeking a Research Software Engineer to support cancer research by developing reliable, scalable, and reproducible tools. BBSR is a multidisciplinary group that includes statisticians, bioinformaticians, informaticians, and data scientists who work collaboratively with investigators across Moffitt Cancer Center. The team provides expertise in study design, complex data analysis, data management and integration, and development of computational and data visualization tools for research projects, grant applications, and clinical trials.

The Research Software Engineer works independently to design, analyze, architect, build, and test software solutions focused on biological and medical data, and research participant-facing mobile applications. This role offers opportunities to develop applications that directly support scientific discovery and grant development. The position spans the full software development lifecycle and involves close collaboration with a wide range of scientific and technical stakeholders.

Position Highlights:

Join a team that accelerates discoveries and drives innovations in cancer research.

  • Build cutting-edge informatics pipelines and database solutions for large-scale research data. 
  • Develop software applications to process and integrate omics datasets. 
  • Create visualization tools that reveal insights from big data. 
  • Design and optimize databases and platforms for seamless access and annotation. 
  • Develop front-end and back-end solutions for mobile and web applications. 

The Ideal Candidate:

  • Will have a minimum of (5) years of experience in software development lifecycle (SDLC), software architecture, and database design. Alternatively, 2 years of experience with a Master’s degree in a relevant field.
  • Strong preference for experience in mobile development and distributed computing.
  • Previous experience working in healthcare environments is highly desirable.
  • In-depth knowledge of healthcare data, particularly oncology-related data, is strongly preferred.
  • Familiarity with public health policy, healthcare operations, and HIPAA compliance is considered a valuable asset.

Responsibilities:

  • Shape the Future: Design and build innovative web and backend applications using the latest frameworks and APIs, directly supporting breakthroughs in cancer research.
  • Engineer Data Excellence: Architect and manage secure, high-performance databases—your work will ensure data integrity and power discoveries that matter.
  • Drive Automation & Reliability: Lead the way in automating deployments and optimizing cloud infrastructure, ensuring our research tools are always reliable and ready for the next challenge.
  • Champion Security: Safeguard sensitive data and research by implementing best-in-class security practices and proactively resolving technical issues.
  • Collaborate for Impact: Partner with world-class scientists, clinicians, and technical teams to deliver solutions that accelerate scientific progress.
  • Innovate Relentlessly: Set the standard for coding excellence, conduct regular audits, and continuously adopt emerging technologies to keep our research at the cutting edge.

Credentials and Qualifications:

  • Bachelor’s in computer science/engineering, bioinformatics, information systems, or health informatics or relevant field with four (4) years of experience, including expertise in the software development lifecycle (SDLC), software architecture, and database design.
  • Strong programming proficiency in design patterns, Java, C, C++, object-oriented design, XML, JavaScript, JSON, REST APIs, and both SQL and NoSQL database development.
  • Experience with R and/or Python for data integration, particularly with bioinformatics platforms.
  • Proficiency in version control systems and adherence to coding standards.
  • Hands-on experience with virtual machines and Docker containers for application deployment.
  • System Administration & Operating Systems:
    • Experience in systems administration across various platforms.
    • Familiarity with Linux, macOS, and Windows operating systems, including working in high performance computing (HPC) environments.
  • Cloud Computing & Microservices:
    • Knowledge of cloud computing, preferably AWS, as well as experience with Snowflake and microservices architecture.
  • AI & Automation:
    • Experience using AI technologies to assist with design, coding, or testing processes.

Moffitt Team Members are eligible for Medical, Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. Tampa is a thriving metropolitan city, which has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities, amazing cuisine and so much more. We strive for work/life balance.

Ready to make a difference? Join us and use your skills to accelerate life-saving discoveries. Apply today and help shape the future of cancer research


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