2

Remote Data Labelling Jobs in Florida (NOW HIRING)

Data Protection Engineer

Coral Gables, FL · On-site +1

$109.50K - $131.50K/yr

This role can be remote anywhere in the country. The salary range for this role is $130,000 to $175 ... Define and refine data classification labels, configurations and control parameters. * Ability to ...

... white-label partners), and expansion of the existing customer base. Reporting directly to the ... Use data-driven insights to continuously optimize performance across all channels. Maintain ...

... on-label information about the products. The CAM is expected to achieve territory sales by ... This is a remote position; however, candidates must reside in the approved large territorial bounds ...

iOS Developer

Coral Springs, FL · Remote

$49.25 - $67.75/hr

Familiarity with Apple frameworks including Foundation, SwiftUI, SwiftData/Core Data, Core Location ... Crashlytics, remote config) and APNs * Skilled in unit testing with XCTest, UI testing with ...

Civil CAD Designer II

Orlando, FL · On-site +1

$31 - $40/hr

This opportunity is remote position. Why Tetra Tech: At Tetra Tech, we are Leading with Science to ... Work includes federal, commercial, manufacturing, renewable energy, data centers, microgrids and ...

Civil CAD Designer II

Orlando, FL · On-site +1

$31 - $40/hr

This opportunity is remote position. Why Tetra Tech: At Tetra Tech, we are Leading with Science to ... Work includes federal, commercial, manufacturing, renewable energy, data centers, microgrids and ...

next page

Showing results 1-20

Remote Data Labelling information

See Florida salary details

$34.4K

$123.3K

$182K

How much do remote data labelling jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data labelling in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a Remote Data Labelling job?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

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

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

What are some common challenges faced by remote data labelling professionals, and how can they be managed?

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.
What are the most commonly searched types of Data Labelling jobs in Florida? The most popular types of Data Labelling jobs in Florida are:
What are popular job titles related to Remote Data Labelling jobs in Florida? For Remote Data Labelling jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in Florida look for? The top searched job categories for Remote Data Labelling jobs in Florida are:
What cities in Florida are hiring for Remote Data Labelling jobs? Cities in Florida with the most Remote Data Labelling job openings:
Data Protection Engineer

Data Protection Engineer

Lakeview Loan Servicing

Coral Gables, FL • On-site, Remote

$109.50K - $131.50K/yr

Full-time

Posted 16 days ago


Job description

Overview

The Data Protection Engineer (DPE) is responsible for designing, implementing, and maintaining corporate data protection solutions that safeguard sensitive company and customer information. This role focuses on the hands-on configuration, operation, and continuous improvement of data protection technologies and controls across cloud, endpoint, email, and data platforms.


The DPE works closely with IT Security, Compliance, Legal, and business stakeholders to translate data protection requirements into practical technical controls. This position requires a strong understanding of data loss prevention, data classification, information protection, regulatory compliance, and emerging data security threats to ensure the confidentiality, integrity, and availability of regulated and sensitive data.

This is an individual contributor/self-starter role, that is business minded and execution-focused, requiring strong technical proficiency, attention to detail, and the ability to operate effectively within a corporate environment.

This role can be remote anywhere in the country.  The salary range for this role is $130,000 to $175,000, plus an annual bonus. However Lakeview considers several factors when extending an offer, including but not limited to, the roles and associated responsibilities, a candidate's work experience, education/training, location and key skills. 


Responsibilities
  • Design, deploy, configure, and maintain data protection solutions across endpoints, networks, cloud services, email systems, and collaboration platforms.
  • Customize and fine-tune data protection policies, rules, and classifiers.
  • Define and maintain data classification schemes and sensitivity labels.
  • Fine-tune data protection policies, rules and detection algorithms to minimize false positives.
  • Define and refine data classification labels, configurations and control parameters.
  • Ability to troubleshoot sensitivity label issues with end users.
  • Develop automated workflows to enhance data security and reduce manual intervention.
  • Monitor and triage data protection alerts and incidents.
  • Implement and operate DSPM controls, data discovery, posture assessments, and exposure remediation.
  • Documentation of systems designs, configurations and support processes including, but not limited to, creating/maintaining conceptual, logic and system diagrams, standard operating procedures and playbooks, and configuration guides.
  • Ensure data protection policies align with company and regulatory requirements, as well as industry regulations (e.g., GLBA, CCPA, NYDFS)
  • Work closely with compliance and legal teams to enforce data protection requirements.
  • Provide technical guidance on emerging threats and data security trends.
  • Support data flow mapping, risk assessments, and remediation efforts.
  • Participate in architecture reviews and change management activities.
  • Stay current on data security trends and technologies.
  • Integrate data protection platforms with SIEM and IAM systems.
  • Perform other duties as assigned.

Qualifications
  • Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).
  • 8+ years of experience in DLP engineering.
  • Strong, hands-on experience with Microsoft Purview (Data Loss Prevention and Information Protection) and Microsoft Defender.
  • Experience with Microsoft Defender for Cloud and/or Netskope is a plus.
  • Strong knowledge of encryption, data classification, network security, endpoint protection, and cloud security principles.
  • Scripting (e.g., Python and PowerShell) and automation skills are a plus.
  • Solid understanding of regular expression and regex-based pattern matching.
  • Experience with enterprise support request and trouble ticketing solutions, such as ServiceNow and Jira.
  • Familiar with support process implementation and improvement.
  • Understanding data protection laws, compliance frameworks, and industry best practices.

Knowledge and Skills Required:

  • Strong problem-solving and analytical skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Self-starter with strong interpersonal, written and verbal communication skills and the ability to interact with technical and non-technical stakeholders.

Certifications

  • CISSP, CISA, CEH, CCSP, or Microsoft Certified preferred
Location & Compensation
  • The annual salary for this role ranges between $130-175K depending on the individual’s experience.
  • Role can be 100% fully remote depending on geographic location
Physical Demands and Work Environment

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and use hands to handle, touch or feel objects, tools, or controls.  The employee frequently is required to talk and hear.  The noise level in the work environment is usually moderate.  The employee is occasionally required to stand; walk; reach with hands and arms.  The employee is rarely required to stoop, kneel, crouch, or crawl.  The employee must regularly lift and/or move up to 10 pounds.  Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus.

EEOC

Lakeview is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

Qualifications:
  • Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).
  • 8+ years of experience in DLP engineering.
  • Strong, hands-on experience with Microsoft Purview (Data Loss Prevention and Information Protection) and Microsoft Defender.
  • Experience with Microsoft Defender for Cloud and/or Netskope is a plus.
  • Strong knowledge of encryption, data classification, network security, endpoint protection, and cloud security principles.
  • Scripting (e.g., Python and PowerShell) and automation skills are a plus.
  • Solid understanding of regular expression and regex-based pattern matching.
  • Experience with enterprise support request and trouble ticketing solutions, such as ServiceNow and Jira.
  • Familiar with support process implementation and improvement.
  • Understanding data protection laws, compliance frameworks, and industry best practices.

Knowledge and Skills Required:

  • Strong problem-solving and analytical skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Self-starter with strong interpersonal, written and verbal communication skills and the ability to interact with technical and non-technical stakeholders.

Certifications

  • CISSP, CISA, CEH, CCSP, or Microsoft Certified preferred
Location & Compensation
  • The annual salary for this role ranges between $130-175K depending on the individual’s experience.
  • Role can be 100% fully remote depending on geographic location
Physical Demands and Work Environment

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and use hands to handle, touch or feel objects, tools, or controls.  The employee frequently is required to talk and hear.  The noise level in the work environment is usually moderate.  The employee is occasionally required to stand; walk; reach with hands and arms.  The employee is rarely required to stoop, kneel, crouch, or crawl.  The employee must regularly lift and/or move up to 10 pounds.  Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus.

EEOC

Lakeview is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

Education:UNAVAILABLEEmployment Type: FULL_TIME