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Remote Data Labeling Analyst Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... Data Scientist with 4 years of experience including experience in applied NLP, data labeling ...

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Remote Data Labeling Analyst information

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 popular job titles related to Remote Data Labeling Analyst jobs in Virginia?

For Remote Data Labeling Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling Analyst jobs in Virginia look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Labeling Analyst jobs?

Cities in Virginia with the most Remote Data Labeling Analyst job openings:

Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Architect III (Remote)

Indotronix International Corporation

Richmond, VA • On-site, Remote

Full-time

Posted 6 days ago

Job description

Data Architect III (Remote) - Data Engineer (AWS): Operational Support & Enhancement
About the Role
Join a dynamic team as a Data Architect III, focused on hands-on engineering to support and enhance an established AWS-based enterprise data platform. Work remotely with a collaborative team of experienced data engineers, delivering reliable HR, Finance, and Procurement data to business users across the organization. This position is ideal for data engineers who thrive in operational support, troubleshooting, and continuous improvement of data pipelines and products.
Responsibilities
- Provide end-to-end operational support for AWS-based data pipelines and products (S3, AWS Glue, Starburst)
- Monitor pipeline performance, respond to incidents, and execute root cause analysis for data issues
- Troubleshoot across data, Python code, and SQL queries to resolve ingestion, transformation, and publication failures
- Recommend, design, and implement robust data quality checks and validation logic
- Enhance and optimize existing AWS Glue jobs and S3 data flows for performance and maintainability
- Support business data consumption via Tableau, APIs, and direct SQL interfaces
- Collaborate with HR, Finance, and Procurement stakeholders to resolve data discrepancies and understand reporting requirements
- Maintain clear documentation for pipelines, transformations, troubleshooting, and operational procedures
- Contribute to infrastructure improvements, including Terraform-based enhancements where applicable
- Adhere to engineering best practices, participate in code reviews, and collaborate using Git and GitLab
- Work within an Agile team environment, balancing operational support with ongoing enhancements
Required Skills and Experience
- 5+ years hands-on data engineering experience
- 5+ years working with AWS data tools (S3, AWS Glue)
- Advanced SQL expertise (read, debug, optimize complex queries)
- Strong Python programming for data processing and automation
- Experience with PostgreSQL or similar relational databases
- Proven data troubleshooting skills (data, Python code, SQL queries)
- ETL/ELT pipeline development and support for structured data
- Data quality validation and implementation
- Git and GitLab version control and collaboration
- Bachelor's degree in a related field or equivalent practical experience
Preferred Skills
- Familiarity with Starburst or similar federated SQL engines
- Experience with Workday or Ariba data structures
- Exposure to Tableau or comparable BI/reporting tools
- Experience with Terraform for infrastructure enhancements
- IT-related certifications
Benefits
- Long-term project with potential for full-time conversion
- 100% remote work for optimal flexibility
- Opportunity to work with advanced AWS technologies and enterprise-scale data
- Collaborative, supportive team environment
- Exposure to cross-functional business domains (HR, Finance, Procurement)
- Competitive compensation
How to Apply
If you are a proactive Data Engineer passionate about data pipeline reliability and operational excellence, apply now to join our remote team. Qualified candidates will be contacted regarding next steps.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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