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Remote Data Labeling Analyst Jobs in Austin, TX (NOW HIRING)

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

We are looking for a Data Analyst to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements • Minimum 4+ years of recent hands-on experience with Texas HHSC ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements Minimum 4+ years of recent hands-on experience with Texas HHSC Direct ...

Collaborating with Data & Analytics Engineers to architect robust data models and institute world ... US - Remote Zone A includes the following locations: * San Francisco Bay Area - California * Metro ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

High Volume (TOFU) Recruiter

Austin, TX · On-site +1

$55K - $100K/yr

... standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We ... San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

About Us: * Customer Experience Analyst - REMOTE PTP is a fast-growing system integrator that ... Analysis and Data Optimization: Analyze large datasets and conversational call flows to uncover ...

About Us: * Customer Experience Analyst - REMOTE PTP is a fast-growing system integrator that ... Analysis and Data Optimization: Analyze large datasets and conversational call flows to uncover ...

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Showing results 1-20

Remote Data Labeling Analyst information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

How much do remote data labeling analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data labeling analyst in Austin, TX is $81,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,100.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote data labeling analyst?

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 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 the most commonly searched types of Data Labeling Analyst jobs in Austin, TX?

The most popular types of Data Labeling Analyst jobs in Austin, TX are:

What job categories do people searching Remote Data Labeling Analyst jobs in Austin, TX look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Data Labeling Analyst jobs?

Cities near Austin, TX with the most Remote Data Labeling Analyst job openings:

Infographic showing various Remote Data Labeling Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,914 per year, or $39.4 per hour.

Data Privacy Analyst - Remote

YO AI Labs

Austin, TX • Remote

$31 - $60/hr

Full-time

Posted 8 days ago


Job description

Data Privacy Analyst

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting sensitive information. In this role, you will review transformed datasets and documents, identify improperly handled Personally Identifiable Information (PII), and perform detailed quality checks to ensure privacy standards are consistently maintained.

Key Responsibilities
  • Conduct spot-checks of transformed datasets to verify proper redaction, masking, or anonymization of PII.
  • Review documents and datasets for sensitive or personally identifiable information.
  • Identify missed, incorrectly handled, or improperly redacted sensitive data.
  • Evaluate data against established privacy and quality standards.
  • Document discrepancies, findings, and observations using provided tools and templates.
  • Provide clear and actionable feedback to improve data privacy and review quality.
  • Maintain confidentiality and accuracy when working with sensitive information.
Required Qualifications
  • Strong understanding of PII, data privacy, and information protection practices.
  • Experience with document review, quality assurance, eDiscovery, or compliance processes.
  • Strong attention to detail and ability to identify subtle data privacy issues.
  • Experience working with sensitive or confidential information.
  • Strong analytical and written communication skills.
  • Ability to perform repetitive and detailed spot-checks while maintaining consistent accuracy.
  • Comfortable working independently in a remote environment.
Preferred Qualifications
  • Background as a Paralegal, eDiscovery Specialist, Privacy Analyst, Information Governance Specialist, Compliance Manager, or Legal Document Review Lead.
  • Experience with legal document review, litigation support, or managed legal services.
  • Familiarity with data privacy regulations and compliance requirements.
  • Experience with contract review or legal quality assurance.
  • Experience working in high-stakes environments involving sensitive data.
Core Skills

PII | Data Privacy | Document Review | Spot Checks | eDiscovery | Quality Assurance | Data Redaction | Data Anonymization | Compliance | Attention to Detail | Sensitive Data Handling