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Remote Data Annotation Analyst Jobs in Ashburn, VA

Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ... Excellent critical thinking, analytical reasoning, and structured problem-solving abilities.

... data analysis within the unique challenges and requirements of the naval environment. This is a fully remote position This position is contingent upon your ability to maintain and transfer your ...

This Data Analyst position is located within the Bureau of Consular Affairs, Resource Management ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

This Data Analyst position is located within the Bureau of Consular Affairs, Resource Management ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

Credit Card Data Analyst Location: Mclean, VA, Richmond, VA and Plano, TX (Try for Local) (Open for Remote As well) Relocation is accepted as well/ Remote (CST Time Zone) Hybrid Location if Onsite ...

Remote Work: Hybrid Job Number: R0247289 Location: Arlington,VA,US Share job via: Share Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful ...

Capital Area Work Location: 100% Remote Telework (U.S.-based) Employment Type: Full-Time / W-2 ... Respond to HHS/ORR and CPMC PMO data calls with accurate, auditable, welldocumented analyses.

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

GSA Data Analyst 1The Rehancement Group, Inc. (TRG) is a professional services and consulting ... This position is telework/remote, full-time: 8 hours per day/ Monday-Friday (40hr/week). GSA Laptop ...

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Showing results 1-20

Remote Data Annotation Analyst information

See Ashburn, VA salary details

$34.8K

$84.5K

$139.1K

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

As of Aug 22, 2026, the average yearly pay for remote data annotation analyst in Ashburn, VA is $84,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,200.00 per year, depending on experience, location, and employer.

What is a remote data annotation analyst?

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

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.

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 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 most commonly searched types of Data Annotation Analyst jobs in Ashburn, VA?

The most popular types of Data Annotation Analyst jobs in Ashburn, VA are:

What are popular job titles related to Remote Data Annotation Analyst jobs in Ashburn, VA?

For Remote Data Annotation Analyst jobs in Ashburn, VA, the most frequently searched job titles are:

Infographic showing various Remote Data Annotation Analyst job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $84,508 per year, or $40.6 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Washington, DC • Remote

$100 - $200/hr

Part-time

Posted 10 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.