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Remote Data Labeling Jobs in Pompano Beach, FL (NOW HIRING)

Remote Data Labeling information

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How much do remote data labeling jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote data labeling in Pompano Beach, FL is $31.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.56 and $42.30 per hour, depending on experience, location, and employer.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

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

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What are popular job titles related to Remote Data Labeling jobs in Pompano Beach, FL?

For Remote Data Labeling jobs in Pompano Beach, FL, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling jobs in Pompano Beach, FL look for?

The top searched job categories for Remote Data Labeling jobs in Pompano Beach, FL are:

What cities near Pompano Beach, FL are hiring for Remote Data Labeling jobs?

Cities near Pompano Beach, FL with the most Remote Data Labeling job openings:

Infographic showing various Remote Data Labeling job openings in Pompano Beach, FL as of August 2026, with employment types broken down into 39% Full Time, 21% Part Time, 5% Temporary, and 35% Contract. Highlights an 100% Remote job distribution, with an average salary of $65,138 per year, or $31.3 per hour.

Data Loss Prevention Analyst

Fort Lauderdale, FL • Remote

Lakeview Loan Servicing
51 - 200 employees

$70K - $130K/yr

Full-time

Medical, Retirement

Posted yesterday

New


Job description

Overview

The DLP Analyst is responsible for protecting sensitive company and customer information by monitoring, analyzing, and responding to potential data leakage incidents to prevent unauthorized access, misuse, or loss of sensitive information assets, while helping drive more secure business practices. The ideal candidate will have experience with data protection technologies, strong analytical skills, and experience working with cross-functional, technical, and non-technical teams to ensure compliance with organizational and regulatory requirements.

This is a fully remote position with the option of working a hybrid schedule out of our Coral Gables, FL office. We offer a competitive salary range of $70,000 to $130,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors.


Responsibilities
  • Continuously monitor and analyze DLP alerts to identify potential data loss incidents, policy violations and risky business practices.
  • Investigate, escalate and respond to DLP incidents in accordance with security policies and incident response procedures.
  • Conduct root cause analysis and recommend corrective actions to mitigate data loss risks.
  • Profile and analyze patterns of data movement to enhance data protection controls and reduce insider risks.
  • Profile and analyze data discovery and data classification reports to validate true positives and work cross-functionally to mitigate risk exposure.
  • Develop, implement, and fine-tune DLP policies and rules to prevent unauthorized data access or transmission, and minimize false positives.
  • Conduct periodic audits and assessments to evaluate the effectiveness of DLP controls.
  • Assist in the classification and protection of sensitive data, ensuring compliance with organizational policies.
  • Generate reports on DLP incidents, trends, and security risks, providing recommendations for improvement.
  • Collaborate with IT, security and business teams to integrate data protection controls into workflows and business processes.
  • Educate employees on best practices for data security and compliance.
  • Collaborate with vendors and engineers to optimize technical solutions and address system enhancements.
  • Troubleshoot issues with end users related to sensitivity labels and DLP controls.
  • Develop and maintain documentation related to operating procedures, policy configuration, etc.
  • Develop and update data classification labels and label policies.

Qualifications
  • Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).
  • 4+ years of experience in data protection, forensic investigations, incident response, or law enforcement roles.
  • Strong, hands-on experience with Microsoft Purview (including but not limited to Data Loss Prevention, Information Protection, eDiscovery, and Audit), Microsoft Defender, Netskope, or Zscaler.
  • Familiarity with Varonis, Splunk, or Microsoft Sentinel, and insider-threat tools is a plus
  • Experience with custom regex-based pattern matching, exact data matching, and document indexing.
  • Experience preparing incident investigation reports and documenting activities.
  • Understanding of data protection laws, compliance frameworks, and industry best practices.
  • Knowledge of encryption, network security, endpoint security, and cloud security principles.
  • Scripting (e.g., Python and PowerShell) experience is a plus.
  • Experience configuring and managing API-based integrations with business applications to support DLP and CASB monitoring, visibility, and policy enforcement.

Knowledge and Skills Required:

  • Strong analytical, problem-solving, and incident response skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication skills to interact with technical and non-technical stakeholders.

Certifications

  • CISSP, CISA, CEH, CCSP, or Microsoft Certified preferred

Lakeview Loan Servicing 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.

#LI-Remote

Qualifications:
  • Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).
  • 4+ years of experience in data protection, forensic investigations, incident response, or law enforcement roles.
  • Strong, hands-on experience with Microsoft Purview (including but not limited to Data Loss Prevention, Information Protection, eDiscovery, and Audit), Microsoft Defender, Netskope, or Zscaler.
  • Familiarity with Varonis, Splunk, or Microsoft Sentinel, and insider-threat tools is a plus
  • Experience with custom regex-based pattern matching, exact data matching, and document indexing.
  • Experience preparing incident investigation reports and documenting activities.
  • Understanding of data protection laws, compliance frameworks, and industry best practices.
  • Knowledge of encryption, network security, endpoint security, and cloud security principles.
  • Scripting (e.g., Python and PowerShell) experience is a plus.
  • Experience configuring and managing API-based integrations with business applications to support DLP and CASB monitoring, visibility, and policy enforcement.

Knowledge and Skills Required:

  • Strong analytical, problem-solving, and incident response skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication skills to interact with technical and non-technical stakeholders.

Certifications

  • CISSP, CISA, CEH, CCSP, or Microsoft Certified preferred

Lakeview Loan Servicing 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.

#LI-Remote

Education:UNAVAILABLEEmployment Type: FULL_TIME