ZipRecruiter

Log In

2

Remote Data Annotation Analyst Jobs in Georgetown, TX

VetsEZ

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 ...

New

next page

Showing results 1-20

All JobsData Annotation Analyst JobsRemote Data Annotation Analyst JobsRemote Data Annotation Analyst Jobs in Georgetown, TX

Remote Data Annotation Analyst information

See Georgetown, TX salary details

$31.6K

$76.8K

$126.4K

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

As of Jul 15, 2026, the average yearly pay for remote data annotation analyst in Georgetown, TX is $76,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,100.00 per year, depending on experience, location, and employer.

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What are the most commonly searched types of Data Annotation Analyst jobs in Georgetown, TX? The most popular types of Data Annotation Analyst jobs in Georgetown, TX are:
What are popular job titles related to Remote Data Annotation Analyst jobs in Georgetown, TX? For Remote Data Annotation Analyst jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Georgetown, TX look for? The top searched job categories for Remote Data Annotation Analyst jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Remote Data Annotation Analyst jobs? Cities near Georgetown, TX with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in Georgetown, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 10% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $76,783 per year, or $36.9 per hour.

Data Engineer (Remote Opportunity)

Veterans EZ Info Inc

Austin, TX • Remote

$113K - $136K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that support healthcare operations, analytics, reporting, and data-driven decision-making.

The engineer will work within a collaborative environment to build and optimize data pipelines, integrate data from multiple sources, and support cloud-based data platforms. The ideal candidate is a hands-on data professional with experience developing ETL/ELT processes, managing large-scale datasets, and implementing secure, reliable data solutions that support mission-critical healthcare systems.

The candidate must reside within the continental US.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.
  • Integrate data from multiple sources through APIs and other system integration methods.
  • Develop and support data analytics and reporting solutions using Power BI.
  • Ensure data quality, integrity, security, and performance across data platforms.
  • Collaborate with stakeholders to gather requirements and deliver data-driven solutions supporting healthcare and VA initiatives.
  • Manage and track development activities using Agile methodologies and tools such as Jira.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

    Requirements:

    • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
    • 4+ years of experience designing, developing, and supporting data engineering solutions in enterprise data and analytics environments.
    • Experience developing data solutions using Python, Spark, SQL, ETL processes, and data warehousing technologies.
    • Experience with GitHub, data integration, and data analytics solutions.
    • Experience supporting data analytics initiatives within enterprise IT environments.
    • Experience supporting Federal government programs and consulting engagements.
    • Proficiency with Microsoft Word, Excel, PowerPoint, and Visio.
    • Strong organizational, analytical, and stakeholder management skills, with the ability to manage multiple priorities in a fast-paced environment.

      Additional Qualifications:

      • Experience supporting healthcare organizations, federal agencies, or Veterans Affairs (VA) programs.
      • Familiarity with VA platforms and technologies, including CX Insights, Lighthouse APIs, Medallia, or similar veteran-facing systems.
      • Experience integrating enterprise applications and data sources through APIs and other system integration methods.
      • Knowledge of Azure cloud-native services and modern data platform architectures.
      • Experience using Jira or similar Agile project management and collaboration tools.
      • Ability to obtain and maintain a Public Trust clearance.

      Benefits:

      • Medical, Dental, and Vision Insurance.
      • 401(k) with Employer Match.
      • Paid Time Off (PTO) and Federal Holidays.
      • Corporate Laptop.
      • Professional Development and Training Opportunities.
      • 100% Remote Opportunity.

      Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

      VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

      Sorry, we are unable to offer sponsorship at this time.

      Apply