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Remote Data Labeling Analyst Jobs (NOW HIRING)

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... data labeling, annotation, and content evaluation * Participate in remote assignments or attend on ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Remote Data Labeling Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jul 18, 2026, the average yearly pay for remote data labeling analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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.

More about Remote Data Labeling Analyst jobs
What cities are hiring for Remote Data Labeling Analyst jobs? Cities with the most Remote Data Labeling Analyst job openings:
What are the most commonly searched types of Data Labeling Analyst jobs? The most popular types of Data Labeling Analyst jobs are:
What states have the most Remote Data Labeling Analyst jobs? States with the most job openings for Remote Data Labeling Analyst jobs include:
Infographic showing various Remote Data Labeling Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Remote Data Engineer I

$111K - $134K/yr

Full-time

Re-posted 22 days ago


Spartanburg Regional Healthcare System rating

6.7

Company rating: 6.7 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

526th of 886 rated healthcare providers


Job description

Job Requirements

Build the Foundation for Data Driven Healthcare and Join Us as Our Next Remote Data Engineer I!

Location: 100% Remote | Applicants must reside in one of the following states: AL, AZ, CT, DE, FL, GA, IN, KS, KY, LA, MD, MI, NC, PA, RI, SC, VA, WV, or WI.

Why Choose Spartanburg Regional Healthcare System

Spartanburg Regional Healthcare System is a forward thinking, community focused healthcare organization that has served the Upstate for more than 100 years. SRHS is committed to leveraging data, analytics, and emerging technologies to improve patient outcomes, support clinical decision making, and advance innovation across the enterprise.

Team members at SRHS work in a collaborative environment that values learning, growth, and continuous improvement. Our data and analytics teams play a critical role in delivering trusted data that supports both business intelligence and advanced AI driven solutions.

Step Into a Role That Builds Trusted Data at Scale

Remote Data Engineer I

The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that ensure data quality, consistency, and readiness for analytics and AI use cases. This role focuses on foundational data engineering activities, assisting with preparation, validation, and documentation of data so it is accurate, secure, and accessible for self-service reporting and advanced analytics.

Working under the guidance of senior data engineers, this role develops skills in data curation, governance, and pipeline development while contributing to the delivery of reliable, optimized datasets that support both operational reporting and enterprise analytics initiatives. This is a fully remote position.

What You Bring to the Table

Educational Foundation

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or Information Systems

Professional Experience

  • Minimum of 5 years of Business Intelligence or comparable data engineering experience (healthcare experience preferred)
  • Strong communication and analytical skills
  • Proficiency with Microsoft BI tools, T SQL, ETL processes, data modeling, and data visualization
  • Strong understanding of SQL and relational database concepts
  • Familiarity with Epic applications and Epic database structures

Licenses and Certifications

  • Relevant Epic Data Model or Microsoft development certifications preferred
  • Certifications may include but are not limited to:
  • Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer Dicer
  • Epic Revenue Cycle, Shared Clinical, Grand Central, and related specialties
  • AI development including machine learning and analytics platforms
  • Microsoft Fabric development including Data Warehouse, Lakehouse, and ETL tools
  • Microsoft SQL certifications

What You Will Learn and Deliver

  • Assists with build and refresh activities using approved data architecture designs
  • Supports data ingestion and ETL processes including basic troubleshooting and data quality validation
  • Collaborates with engineers and developers to learn enterprise data standards and development patterns
  • Ensures compliance with data governance, security, performance, and privacy standards
  • Executes assigned project requests exceeding 40 hours under supervision
  • Contributes to continuous improvement of data reliability and usability
  • Performs additional duties as assigned

Technologies and Work Areas You Will Support

  • Azure Databricks
  • Epic Caboodle development internal and external
  • Cogito Extract Scheduler
  • Cogito Reporting Workbench SQL
  • Cogito SQL Metrics
  • Copilot Studio agent development and management
  • Data agent development and management
  • Epic claims ingestion workflows
  • Microsoft Fabric Data Warehouse, Lakehouse, and ETL development
  • Power Platform applications
  • Power BI semantic model development and management
  • Slicer Dicer data model development and management
  • Other assigned or extended project requests

Take the Next Step

If you are ready to grow your data engineering skills, support meaningful analytics initiatives, and contribute to trusted data solutions that power healthcare innovation, we encourage you to apply today. Join Spartanburg Regional Healthcare System and help build the data foundation that supports smarter decisions and better patient care.



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About Spartanburg Regional Healthcare System

Sourced by ZipRecruiter

Spartanburg Regional Healthcare System is a leader in the healthcare industry, located in Spartanburg, SC, US. As a comprehensive health system, it offers services encompassing everything from wellness, prevention, and care coordination to specific medical treatments for a wide range of diseases and health issues. Spartanburg Regional Healthcare System was founded in 1921 and has since developed a reputation for excellence and innovative care, growing to include six hospitals, 100 medical offices, 8,000 associates and more than 900 medical staff.

Industry

Recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Spartanburg, SC, US

Year founded

1921