Top 111 Ai scientist Jobs in Washington, Dc

Computational Scientist - AI Trainer
DataAnnotation —Vienna, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Machine Learning Scientist - AI Trainer
DataAnnotation —Reston, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
11d
Research Data Scientist
Swayable —Washington, DC
- $125,000 - $165,000 a year
- Remote
- Computer Science
- Mid-level
- Master's degree
- Health insurance
- Dental insurance
2026 PhD Graduate – Artificial Intelligence and Machine Learning (AI/ML) Research Scientist
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $105,000 - $245,000 a year
- Full-time
- Doctor of Philosophy
- Entry level
- Disability insurance
- Health insurance
AI and Data Assimilation Scientist
Lynker Corporation —College Park, MD
- $90,000 - $185,000 a year
- Full-time
- Remote
- English
- Math
- Quality control
- Paid holidays
- Disability insurance
Mid AI Computer Vision Scientist
Strategic ACI —Washington, DC
- $150,000 a year
- Full-time
- Mid-level
- Analysis skills
- Bachelor's degree
- Paid holidays
- Disability insurance
Quick Apply
Geophysicist III
ENSCO, Inc. —Chantilly, VA
- $73,923.20 - $131,331.20 a year
- Full-time
- Background check
- Computer science
- Computer Science
Quick Apply
Machine Learning Scientist - AI Trainer
DataAnnotation —Forestville, MD
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
8d
Economic Analyst - AI Trainer
DataAnnotation —Forestville, MD
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
8d
AI/ML Research Scientist - Agentic Systems
Peraton —Herndon, VA
- $104,000 - $166,000 a year
- Office
- 3 years
- Master's degree
- Health savings account
- Paid holidays
Applied Research Mathematician / Generative AI
National Security Agency —Fort Meade, MD
- $132,751 - $197,200 a year
- 8 hour shift
- Computer science
- Doctoral degree
- Computer Science
5d
Applied Researcher II (AI Foundations)
Capital One —McLean, VA
- Email
- Computer Science
- Mid-level
- Office
- Health insurance
Staff Geophysicist
ENSCO, Inc. —Chantilly, VA
- $110,448.00 - $200,137.60 a year
- Full-time
- Background check
- Computer science
- 7 years
Quick Apply
AI/ML Research Scientist - Agentic Systems
Peraton —Herndon, VA
- $112,000 - $179,000 a year
- Master's degree
- 8 years
- Analysis skills
- Health savings account
- Paid holidays
Data Scientist II
Axle —Rockville, MD
- $130,000 - $145,000 a year
- Remote
- Computer Science
- Mid-level
- Analysis skills
- Paid holidays
- Health insurance
Quick Apply
Applied Researcher II (AI Foundations, LLM Core and Agentic AI)
Capital One —McLean, VA
- Email
- Computer Science
- Mid-level
- Office
- Health insurance
Applied Researcher I (AI Foundations)
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Applied Researcher II (AI Foundations, LLM Core and Agentic AI)
Capital One —McLean, VA
- Email
- Computer Science
- Mid-level
- Office
- Health insurance
Applied Researcher I (AI Foundations)
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance

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ai scientist jobs near washington, dc

Computational Scientist - AI Trainer

DataAnnotation -
Vienna, VA

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Job Details

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

Benefits

Flexible schedule

Qualifications

Computational research
Software coding
Design of experiments
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 Computational Scientist - 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 scientist jobs in washington, dc

Computational Scientist - AI Trainer

Machine Learning Scientist - AI Trainer

Research Data Scientist

2026 PhD Graduate – Artificial Intelligence and Machine Learning (AI/ML) Research Scientist

AI and Data Assimilation Scientist

Mid AI Computer Vision Scientist

Geophysicist III

Machine Learning Scientist - AI Trainer

Economic Analyst - AI Trainer

AI/ML Research Scientist - Agentic Systems

Applied Research Mathematician / Generative AI

Applied Researcher II (AI Foundations)

Staff Geophysicist

AI/ML Research Scientist - Agentic Systems

Data Scientist II

Applied Researcher II (AI Foundations, LLM Core and Agentic AI)

Applied Researcher I (AI Foundations)

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)

Applied Researcher II (AI Foundations, LLM Core and Agentic AI)

Applied Researcher I (AI Foundations)

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