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Remote Machine Learning Quant Jobs in Falls Church, VA

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

The core of the work is applying machine learning, statistical analysis, and data mining techniques ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

Engineer 6, Machine Learning, Data & AI

Washington, DC ยท On-site +1

$129K - $155K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Engineer 6, Machine Learning, Data & AI

Reston, VA ยท On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Data Scientist

Chantilly, VA ยท On-site +1

$99K - $225K/yr

... quantitative analyses, and visualization of targeted data sources * Knowledge of Machine Learning ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Scientist

Chantilly, VA ยท On-site +1

$77K - $176K/yr

... quantitative analyses, and visualization of targeted data sources * Knowledge of Machine Learning ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Scientist

Chantilly, VA ยท On-site +1

$62K - $141K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Ability to ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Showing results 41-60

Remote Machine Learning Quant information

See Falls Church, VA salary details

$11.7K

$138.3K

$211.3K

How much do remote machine learning quant jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote machine learning quant in Falls Church, VA is $138,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $147,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are popular job titles related to Remote Machine Learning Quant jobs in Falls Church, VA?

For Remote Machine Learning Quant jobs in Falls Church, VA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Quant jobs in Falls Church, VA look for?

The top searched job categories for Remote Machine Learning Quant jobs in Falls Church, VA are:

What cities near Falls Church, VA are hiring for Remote Machine Learning Quant jobs?

Cities near Falls Church, VA with the most Remote Machine Learning Quant job openings:

Infographic showing various Remote Machine Learning Quant job openings in Falls Church, VA as of August 2026, with employment types broken down into 6% Internship, 51% Full Time, 12% Part Time, and 31% Contract. Highlights an 100% Remote job distribution, with an average salary of $138,347 per year, or $66.5 per hour.

AI Data Science Expert - Remote

YO AI Labs

Washington, DC โ€ข Remote

$100 - $200/hr

Part-time

Posted 9 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.