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Remote Data Labelling Jobs in Gilbert, AZ (NOW HIRING)

Director, Data Security & Governance arrivia Remote (US) Full-time -1922-44b9-98ed- 379fb61e1be7 ... You will own information classification, labelling, and handling under ISO/IEC 27001 and the DAMA ...

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

... labels without lies. Founded on one simple belief -- that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

... general data entry, among other tasks. Experience working at a Value Added Reseller is a plus ... Process shipping label request * Perform other duties as needed Physical Demands * Sit at a ...

VP, Lending Business Development

Tempe, AZ · On-site +1

$250K - $275K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Proven ability to negotiate complex, multi-year revenue-share or white-label agreements.

Showing results 21-32

Remote Data Labelling information

See Gilbert, AZ salary details

$45.9K

$164.5K

$242.7K

How much do remote data labelling jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data labelling in Gilbert, AZ is $164,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $169,500.00 per year, depending on experience, location, and employer.

What is a remote data labelling?

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 remote data labelling?

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.

How can I get started in remote data labeling?

To start as a remote data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, audio, or text. Many companies require a reliable internet connection, attention to detail, and sometimes a test task to demonstrate accuracy. You can find entry-level positions on online job platforms and consider completing relevant online courses to improve your skills.

How much are remote data labelers paid?

Remote data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for accuracy and efficiency.

What are popular job titles related to Remote Data Labelling jobs in Gilbert, AZ?

For Remote Data Labelling jobs in Gilbert, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Data Labelling jobs in Gilbert, AZ look for?

The top searched job categories for Remote Data Labelling jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Remote Data Labelling jobs?

Cities near Gilbert, AZ with the most Remote Data Labelling job openings:

Infographic showing various Remote Data Labelling job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $164,491 per year, or $79.1 per hour.

Data Loss Prevention Analyst

Lakeview Loan Servicing

Scottsdale, AZ • Remote

$70K - $130K/yr

Full-time

Medical, Retirement

Posted 10 days ago


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