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Data Labelling Jobs in Tampa, FL (NOW HIRING)

Data Security Specialist, VP

Tampa, FL · Hybrid

  • Medical

  • Retirement

  • PTO

Must have experience with data classification and labeling tools including BigID and Microsoft Purview * Proven experience in Data Security Posture Management (DSPM), including the assessment ...

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Data Labelling information

See Tampa, FL salary details

$43.5K

$155.9K

$230.1K

How much do data labelling jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data labelling in Tampa, FL is $155,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $160,700.00 per year, depending on experience, location, and employer.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the data labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and they are often performed remotely with flexible schedules.

What are the most commonly searched types of Data Labelling jobs in Tampa, FL?

The most popular types of Data Labelling jobs in Tampa, FL are:

What are popular job titles related to Data Labelling jobs in Tampa, FL?

For Data Labelling jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Data Labelling jobs in Tampa, FL look for?

The top searched job categories for Data Labelling jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Data Labelling jobs?

Cities near Tampa, FL with the most Data Labelling job openings:

Infographic showing various Data Labelling job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $155,945 per year, or $75 per hour.

Data Security Specialist, VP

MUFG

Tampa, FL • Hybrid

Full-time

Medical, Retirement, PTO

Posted yesterday

New


MUFG rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

EXPERIENCE

  • 5-7 year of experience in data security and protection
  • Must have experience with data classification and labeling tools including BigID and Microsoft Purview
  • Proven experience in Data Security Posture Management (DSPM), including the assessment, management, and improvement of an organization's data security posture
  • Experience in implementing DSPM tools and technologies
  • Experience in identifying and mitigating data security risks through continuous monitoring and evaluation of data security practices
  • Proven experience in data classification and labeling technology, controls, and processes
  • Familiarity with data security considerations for AI/ML systems, including privacy, data leakage, and regulatory risk
  • Experience working with stakeholders such as Data Privacy, IAM, Security Engineering, and Data Security teams
  • Experience in testing alignment with governance standards and cybersecurity frameworks and advising on data security strategies
  • Experience defining and reporting metrics and KPIs/KRIs/KCIs
  • Cybersecurity experience in a regulated banking or financial environment preferred

FUNCTIONAL SKILLS

  • Strong understanding of DSPM principles, including data discovery and classification across traditional data stores and AI-related data pipelines, risk assessment, policy management, incident response, and compliance management
  • Ability to define and implement data classification patterns for scanning tools
  • Ability to implement adaptive security measures based on data sensitivity and regulatory requirements
  • Proficiency in using DSPM tools to gain visibility into data assets and user activities, and to enforce least privilege principles
  • Proficiency in reporting and analyzing data security metrics
  • Experience in developing and executing data security strategies
  • Knowledge of data protection and data loss prevention (DLP) technologies
  • Ability to adapt data classification requirements to security tools
  • Experience with integrating data classification results with security tools for enrichment and enhanced security
  • Ability to apply data classification and labeling controls to datasets used for AI training, testing, and inference
  • Ability to integrating data classification results with downstream systems to enable safe data usage in analytics and AI-enabled platforms

FOUNDATIONAL SKILLS

  • Excellent communication and collaboration skills
  • Strong analytical and problem-solving abilities
  • Ability to work independently and as part of a team
  • Strong organizational and project management skills
  • Ability to manage multiple priorities and meet deadlines
  • Attention to detail and commitment to quality
  • Strong presentation and writing skills

RESPONSIBILITIES

The Data Security Engineer role plays a critical function in enabling the secure use of data across emerging technologies, including artificial intelligence and machine learning (AI/ML), by ensuring that sensitive, regulated, and proprietary data is appropriately discovered, classified, governed, and protected throughout its lifecycle. This position is responsible for assessing and managing the organization's data security posture by continuously evaluating current security practices and identifying vulnerabilities. Responsibilities include creating and managing data classification and labeling technology, controls, and processes, working closely with various stakeholders to gather requirements, define patterns, and ensure compliance with governance standards. The specialist will also be responsible for reporting and analyzing data security metrics, advising on data security strategies, and overseeing the execution of data labeling initiatives. Specifically, the position is responsible for:

  • Implement and manage DSPM tools to enhance data protection and compliance with regulatory requirements
  • Collaborate with various stakeholders to ensure the alignment of DSPM initiatives with overall data security strategies
  • Adapting data classification requirements to security tools
  • Integrating data classification results with security tools for enrichment and enhanced security
  • Working with stakeholders such as Data Privacy, IAM, Security Engineering, and Data Security teams to gather data classification detection requirements
  • Defining patterns for scanning tools and ensuring alignment with governance standards
  • Reporting and analyzing data security metrics to inform decision-making
  • Advising on data security strategies and best practices
  • Overseeing the execution and progress of data classification and labeling initiatives
  • Assess and mitigate data security risks associated with AI and machine learning use cases, including training data, fine-tuning datasets, inference inputs, and outputs
  • Partner with AI, analytics, and engineering teams to ensure data used in AI-enabled solutions complies with classification, privacy, retention, and regulatory requirements
  • Support secure adoption of generative AI technologies by enforcing controls that prevent sensitive data exposure, unintended data persistence, or unauthorized reuse
  • Contribute to the definition of guardrails for AI data usage, including policy alignment for internal, third-party, and cloud-hosted AI services
  • Ensuring compliance with data security and protection regulations and standards
  • Liaison with governance, legal, and business divisions to maintain and update classification and labeling requirements
  • Presenting findings and strategies to stakeholders

CERTIFICATIONS

  • Certified Information Systems Security Professional (CISSP)
  • Certified Information Security Manager (CISM)
  • Any relevant certifications in data security, protection, and governance

EDUCATION

Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

"Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position."

The typical base pay range for this role is as follows:

  • New York / New Jersey: $121-$194
  • Non-New York / New Jersey: $121-$180

depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

Our hybrid work schedule is four days on-site and work remotely one day per week.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.

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About MUFG

Sourced by ZipRecruiter

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 6th largest financial group in the world. Across the globe, we're 160,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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