Top 420 ai/ml engineer Jobs in dulles, va

Industrial Engineer - AI Trainer
DataAnnotation —Virginia
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
MODELING, ANALYSIS & SIMULATION (MA&S) ENGINEER
Peraton —Herndon, VA
- $135,000 - $216,000 a year
- Azure
- Computer Science
- 11+ years
- Health savings account
- Paid holidays
AI/ML Developer - AI Trainer
DataAnnotation —Chantilly, VA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
Software Engineer
Metron —Reston, VA
- Computer Science
- Mid-level
- Office
- Profit sharing
- Paid parental leave
AI / ML Engineer
Accenture Federal Services —Chantilly, VA
- $120,500 - $221,800 a year
- Mid-level
- SQL
- Bachelor's degree
6d
Artificial Intelligence (AI) Engineer
TechSur Solutions —Reston, VA
- Full-time
- Hybrid work
- Computer Science
- Research
- Mid-level
Quick Apply
Data Engineer
Howard Hughes Medical Institute —Ashburn, VA
- $86,181.60 - $183,023.10 a year
- Full-time
- Computer Science
- Office
- 3 years
- Health insurance
- Retirement plan
AI/ML Engineer
Cornerstone Defense —Herndon, VA
- Contract
- 6 years
- Java
- AWS
4d
AI/ML ENGINEER
Peraton —Herndon, VA
- $104,000 - $166,000 a year
- System design
- 3 years
- Java
- Health savings account
- Paid holidays
AI/ML SOFTWARE ENGINEER
Peraton —Herndon, VA
- $135,000 - $216,000 a year
- Bachelor of Science
- System design
- 8 years
- Health savings account
- Paid holidays
4d
Senior Data Scientist / AI Machine Learning Research Engineer
CACI —Sterling, VA
- $113,200 - $237,800 a year
- Full-time
- 7 years
- Azure
- Computer Science
- Health insurance
9d
Senior Data Visualization and Augmented Analytics Engineer
Navy Federal Credit Union —Vienna, VA
- $130,500 - $179,500 a year
- Online Application
- Computer science
- Computer Science
- DevOps
1d
Senior Software Engineer / Data Scientist (Training Systems)
Leidos —Chantilly, VA
- $154,050 - $278,475 a year
- Full-time
- Computer Science
- System design
- 8 years
AI Engineer Senior
General Dynamics Information Technology —Chantilly, VA
- $127,500 - $172,500 a year
- Computer Science
- 5 years
- Engineering
- 401(k) matching
Data Analytics Engineer
General Dynamics Information Technology —Chantilly, VA
- $142,792 - $169,832 a year
- Azure
- Computer Science
- 8 years
- Paid holidays
- 401(k) matching
Machine Perception (MP) Engineer – Level 3 or 4
Northrop Grumman —Dulles, VA
- $114,000 - $213,400 a year
- Overtime
- Engineering
- Data analysis skills
- Analysis skills
- Paid holidays
- Disability insurance
Software Engineer Professional
Freddie Mac —McLean, VA
- $103,000 - $155,000 a year
- Full-time
- Azure
- Computer Science
- System design
22h
Software Engineer Senior
Freddie Mac —McLean, VA
- $129,000 - $193,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
22h
F5 Systems Engineer – TS/SCI w/Polygraph
General Dynamics Information Technology —Sterling, VA
- $128,039 - $173,229 a year
- Bachelor of Science
- 8 years
- Bachelor's degree
- Paid time off
- 401(k) matching
Lab Support Services Engineer - TS/SCI w/Polygraph
General Dynamics Information Technology —Sterling, VA
- $147,292 - $199,278 a year
- Laboratory experience
- 8 years
- Bachelor's degree
- Paid time off
- 401(k) matching

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ai/ml engineer jobs near dulles, va

Industrial Engineer - AI Trainer

DataAnnotation -
Virginia

Quick Apply

Job Details

Part-time | Full-time | Contract
$40 - $60 an hour

Benefits

Flexible schedule

Qualifications

Quantitative applied research
Predictive modeling analysis
Software coding
Writing skills
Design of experiments
English
Predictive analytics projects
Providing code feedback

Full Job Description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Industrial Engineer - AI Trainer to help advance AI development. 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.

As a member of DataAnnotation's team, 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. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

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.

Benefits:

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.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
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:

2+ 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 is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a 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

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ai/ml engineer jobs in dulles, va

Industrial Engineer - AI Trainer

MODELING, ANALYSIS & SIMULATION (MA&S) ENGINEER

AI/ML Developer - AI Trainer

Software Engineer

AI / ML Engineer

Artificial Intelligence (AI) Engineer

Data Engineer

AI/ML Engineer

AI/ML ENGINEER

AI/ML SOFTWARE ENGINEER

Senior Data Scientist / AI Machine Learning Research Engineer

Senior Data Visualization and Augmented Analytics Engineer

Senior Software Engineer / Data Scientist (Training Systems)

AI Engineer Senior

Data Analytics Engineer

Machine Perception (MP) Engineer – Level 3 or 4

Software Engineer Professional

Software Engineer Senior

F5 Systems Engineer – TS/SCI w/Polygraph

Lab Support Services Engineer - TS/SCI w/Polygraph

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