Top 1822 Ai/ml engineer Jobs in Tysons Corner Va

Industrial Engineer - AI Trainer
DataAnnotation —Virginia
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Simulation Engineer - AI Trainer
DataAnnotation —Herndon, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Al/ML Engineer Technical Lead - TS/SCI w Poly
Peraton —Laurel, MD
- $229,000 - $366,000 a year
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Senior Software Engineer, RF Spectrum Solutions
Battelle —Chantilly, VA
- $135,000 - $175,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- System design
- Wellness program
- Health insurance
8d
AI/ML Platform Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Computer Science
- Engineering
- Mid-level
- Disability insurance
- Health insurance
Applied Signal Processing and AI/ML Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Computer Science
- Mid-level
- 3 years
- Disability insurance
- Health insurance
2d
Lead AI Engineer (FM Hosting, LLM Inference)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Machine Learning Engineer - AI Trainer
DataAnnotation —Washington, DC
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
AI / ML Engineer
Accenture Federal Services —Chantilly, VA
- $120,500 - $221,800 a year
- Mid-level
- SQL
- Bachelor's degree
Lead AI Engineer
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
2d
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
2d
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)
Capital One —McLean, VA
- Email
- Remote
- Computer Science
- Java
- Master's degree
- Health insurance
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
2d
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
2d
AI Engineer – Entry Level
Centennial Technologies —Tysons Corner, VA
- Full-time
- Hybrid work
- Azure
- Computer Science
- HIPAA
- Paid training
- Paid holidays
AI Engineer
MathMinds AI Academy —Woodbridge, VA
- $20 - $30 an hour
- Email
- Hybrid work
- Background check
- Computer science
- Computer Science
- Flexible schedule
Quick Apply
7d
AI/ML Engineer
540 —Arlington, VA
- Azure
- Computer Science
- Mid-level
- Disability insurance
- Health insurance
Quick Apply
Junior AI Engineer
Targeted Victory —Arlington, VA
- Computer Science
- SQL
- Bachelor's degree
Machine Learning Engineer
aqua IT —Springfield, VA
- Full-time
- Mid-level
- SQL
- Mentoring
Quick Apply
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Industrial Engineer - AI Trainer

DataAnnotation -
Virginia

Quick Apply

Job Details

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

Benefits

Flexible schedule

Qualifications

Software coding
English
Providing code feedback

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 Industrial 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 tysons corner va

Industrial Engineer - AI Trainer

Simulation Engineer - AI Trainer

Al/ML Engineer Technical Lead - TS/SCI w Poly

Senior Software Engineer, RF Spectrum Solutions

AI/ML Platform Engineer

Applied Signal Processing and AI/ML Engineer

Lead AI Engineer (FM Hosting, LLM Inference)

Machine Learning Engineer - AI Trainer

AI / ML Engineer

Lead AI Engineer

Lead Machine Learning Engineer

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

AI Engineer – Entry Level

AI Engineer

AI/ML Engineer

Junior AI Engineer

Machine Learning Engineer

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