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Remote Data Labeling Analyst Jobs in Florida (NOW HIRING)

Alignerr

Data Security & DLP Analyst

Miami, FL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Analyze realistic data security and DLP ... Generate, label, and validate realistic data security cases used to train and evaluate AI systems

Phenom People

Remote Data Analyst

Fort Lauderdale, FL · Remote

IT Data Analyst I Envision Healthcare is a leading national medical group focused on delivering high quality care to patients when and where they need it most. More than 30,000 clinicians and ...

Alignerr

Vulnerability Management Analyst

Miami, FL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Analyze vulnerability reports, CVEs, and ... Generate, label, and validate realistic security-reasoning data used to train and benchmark AI ...

General Motors

Senior AI/ML Engineer

Tallahassee, FL · On-site +1

$90.60K - $124.40K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

Kasmo Global

Data Engineering

Tampa, FL · Remote

$104.20K - $125.10K/yr

Data Engineering Remote Data Engineer with API As a Senior Engineer, you will be responsible for ... ability to analyze and make recommendations on results • 3+ yrs experience in full lifecycle ...

Outlier AI

Data Analyst (Remote)

Panama City, FL · On-site +1

We believe AI can only perform as well as the data it's trained on. That's why we work with ... We've built a best-in-class remote work platform for our freelance contributors to provide valuable ...

SynergisticIT

Data Analyst (Remote)

Orlando, FL · On-site +1

Data Scientist (Remote) SYNERGISTICIT is aware that the job market is challenging because of tech ... NLP, text mining, Tableau, Power BI, time series analysis Please understand skills and relevant ...

WPS Health Solutions

Data Analyst

Jacksonville, FL · On-site +1

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ...

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Cardinal Health

Data Analyst

Tallahassee, FL · Remote

Works with complex datasets to perform exploratory data analysis to provide insights to make ... REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ...

New

Actionable Outcomes

Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Remote, within the United States Annual salary range: $80,000 - $120,000 Relevant experience: 3 years required; 5 years preferred U.S. citizenship required Actionable Outcomes (AO) is seeking a Data ...

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Remote Data Labeling Analyst information

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

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

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

Data Security & DLP Analyst

Alignerr

Miami, FL • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Security & DLP Analyst (AI Training)
About the Role
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced data security professionals who understand how data leaks actually happen - and can bring that real-world expertise to help shape how AI reasons about sensitive information risk.
This is a unique opportunity to apply your knowledge of DLP tools, data classification, and security operations to directly influence the next generation of AI systems.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
  • Classify data sensitivity levels, exposure pathways, and policy violations
  • Evaluate prevention, detection, and incident response strategies for accuracy and completeness
  • Generate, label, and validate realistic data security cases used to train and evaluate AI systems
  • Provide expert feedback that helps AI models understand how sensitive information is exposed and protected in modern organizations
Who You Are
  • 2+ years of experience in data security, compliance, or security operations
  • Solid familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS)
  • Practical, hands-on understanding of how data risk plays out in real enterprise environments
  • Strong analytical and written communication skills
  • Comfortable working independently and asynchronously on task-based assignments
Nice to Have
  • Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools
  • Background in security engineering, information governance, or data privacy
  • Familiarity with AI evaluation or data labeling workflows
Why Join Us
  • Work directly on frontier AI systems with top research labs
  • Fully remote and flexible - work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Your expertise shapes how AI understands one of cybersecurity's most critical domains
  • Potential for ongoing work and contract extension

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