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Remote Ai Data Engineer Jobs in Reston, VA (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer ... Experience preparing data for use with AI or GenAI models * Experience with data analytics, data ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Senior AI Platform & Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior AI Platform & Data Engineer Job Number: 868 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern ...

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with data engineering projects supporting data science, AI/ML implementations, and ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245235 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245362 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

As AI data centers drive a surge in electricity demand, millions of homes and businesses remain ... The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ...

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Data Engineer

Washington, DC · Remote

$98K - $128K/yr

Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for ... Experience in applying AI or advanced analytics in data pipelines. * Demonstrated ability to ...

Data Engineer

Mclean, VA · Remote

$142K - $190K/yr

Overview The Data Engineer builds and maintains the source adapters and normalization logic that ... This position is remote but will require travel in the DMV area. Responsibilities * Build source ...

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Showing results 1-20

Remote Ai Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do remote ai data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote ai data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are the most commonly searched types of Ai Data Engineer jobs in Reston, VA?

The most popular types of Ai Data Engineer jobs in Reston, VA are:

What are popular job titles related to Remote Ai Data Engineer jobs in Reston, VA?

For Remote Ai Data Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Reston, VA look for?

The top searched job categories for Remote Ai Data Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Ai Data Engineer jobs?

Cities near Reston, VA with the most Remote Ai Data Engineer job openings:

AI Data Scientist Expert - Remote

YO AI Labs

Washington, DC • Remote

$100 - $200/hr

Part-time

Posted 7 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.