ZipRecruiter

Log In

2

Data Labeler Remote Jobs in Florida (NOW HIRING)

PNC Bank

Head of Sales, Linga

Naples, FL · On-site +1

... 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 ...

Kforce Technology Staffing

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 ...

next page

Showing results 1-20

All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Florida

Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles. Many workers use it as a temporary job or to gain experience in data-related fields.

What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often requiring consistent effort, accuracy, and familiarity with labeling tools. Increasing earnings may involve taking on multiple projects, improving efficiency, or gaining specialized skills in data annotation. However, most remote data labeling jobs pay hourly or per task, so reaching this income level typically requires high productivity and experience.

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

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How to make $1000 a week remote?

A remote data labeler can increase earnings by working multiple projects, improving efficiency, and gaining experience with popular tools like labeling platforms and annotation software. Earning $1000 weekly typically requires consistent full-time work, high-volume projects, or specialized skills that command higher pay rates. Building a strong reputation and seeking higher-paying opportunities can also help reach this income level.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Remote data labeling jobs often pay hourly or per project, with some roles offering additional benefits or flexible schedules.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in Florida? The most popular types of Data Labeler jobs in Florida are:
What are popular job titles related to Data Labeler Remote jobs in Florida? For Data Labeler Remote jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Florida look for? The top searched job categories for Data Labeler Remote jobs in Florida are:
What cities in Florida are hiring for Data Labeler Remote jobs? Cities in Florida with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Data Protection Engineer

Data Protection Engineer

Lakeview Loan Servicing

Coral Gables, FL • On-site, Remote

$109K - $131K/yr

Full-time

Posted 4 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

Apply