Top 1651 Ai/ml engineer Jobs in Fairfax Va

Simulation Engineer - AI Trainer
DataAnnotation —Herndon, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
AI/ML Engineer (SME)
Vantor Services Inc. —Washington, DC
- $161,000 - $269,000 a year
- Full-time
- Azure
- System design
- 11+ years
- 401(k) matching
- Pet insurance
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AI/ML Developer - AI Trainer
DataAnnotation —Chantilly, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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AI Engineer Topsecret Clearance
Lambentwit technologies —Dulles, VA
- $175,000 - $225,000 a year
- Email
- Azure
- Computer Science
- System design
- Health savings account
- Dental insurance
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Software Engineer
Metron —Reston, VA
- Computer Science
- Mid-level
- Office
- Profit sharing
- Paid parental leave
AI Engineer – Entry Level
Centennial Technologies —Tysons Corner, VA
- Full-time
- Hybrid work
- Azure
- Computer Science
- HIPAA
- Paid training
- Paid holidays
Machine Learning Engineer
Somatus, Inc. —McLean, VA
- $105,000 - $115,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- SQL
- Continuing education credits
- Health insurance
Software Engineer, Intelligent Systems
Virginia Tech —Arlington, VA
- From $90,000 a year
- Full-time
- Computer Science
- Master's degree
- Linux
Software Engineer
InterImage —Arlington, VA
- $85,000 - $130,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- System design
- Profit sharing
- Dental insurance
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AI Engineer
Gonzaga University —Washington, DC
- $100,000 - $117,600 a year
- Full-time
- Customer service
- Office
- University
- Relocation assistance
8d
Industrial Engineer - AI Trainer
DataAnnotation —Virginia
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
- $170,000 - $230,000 a year
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
- $170,000 - $230,000 a year
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
AI/ML Solutions Engineer
Elite Talent Hub —Rockville, MD
- $65 - $75 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
Quick Apply
5h
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —McLean, VA
- Full-time
- Remote
- Senior level
Quick Apply
AI / ML Engineer
Accenture Federal Services —Chantilly, VA
- $120,500 - $221,800 a year
- Mid-level
- SQL
- Bachelor's degree
Advisor Software Engineer (AI/ML)
Fannie Mae —Reston, VA
- $155,000 - $209,000 a year
- Full-time
- 6 years
- Computer Science
- Office
Senior Software Engineer (Gen AI)
Freddie Mac —McLean, VA
- $129,000 - $193,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
AI/ML Engineer
System One —McLean, VA
- Remote
- Computer Science
- System design
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
5d
Artificial Intelligence Engineer
CACI —Ashburn, VA
- $103,800 - $218,100 a year
- Full-time
- Hybrid work
- 7 years
- Computer Science
- Bachelor of Science
- Health insurance

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Simulation Engineer - AI Trainer

DataAnnotation -
Herndon, VA

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour

Benefits

Flexible schedule

Qualifications

Software coding
English

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Simulation Engineer - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

Refine Your Search

ai/ml engineer jobs in fairfax va

Simulation Engineer - AI Trainer

AI/ML Engineer (SME)

AI/ML Developer - AI Trainer

AI Engineer Topsecret Clearance

Software Engineer

AI Engineer – Entry Level

Machine Learning Engineer

Software Engineer, Intelligent Systems

Software Engineer

AI Engineer

Industrial Engineer - AI Trainer

Senior Agentic AI/ML Engineer

Senior Agentic AI/ML Engineer

AI/ML Solutions Engineer

GENAI / MACHINE LEARNING AI / DATA Scientist

AI / ML Engineer

Advisor Software Engineer (AI/ML)

Senior Software Engineer (Gen AI)

AI/ML Engineer

Artificial Intelligence Engineer

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