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Hourly Remote Data Labeling Jobs in Florida (NOW HIRING)

AIS Inc

Data Scientist

Miami, FL · On-site +1

Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

RadNet

Remote Medical Scheduler

Port Saint Lucie, FL · On-site +1

$16/hr

Support patient care across our network of imaging centers Why RadNet? * $16.00 hourly rate, PLUS ... Strong basic computer and data entry skills * A customer-first attitude and attention to detail

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Hourly Remote Data Labeling information

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

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What is the difference between Hourly Remote Data Labeling vs Data Annotation Specialist?

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

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

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.
What are popular job titles related to Hourly Remote Data Labeling jobs in Florida? For Hourly Remote Data Labeling jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Florida look for? The top searched job categories for Hourly Remote Data Labeling jobs in Florida are:
What cities in Florida are hiring for Hourly Remote Data Labeling jobs? Cities in Florida with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you
Data Protection Engineer

Data Protection Engineer

Lakeview Loan Servicing

Coral Gables, FL • On-site, Remote

$109K - $131K/yr

Full-time

Posted 13 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

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