Top 121 ai scientist Jobs in silver spring md

Computational Scientist - AI Trainer
DataAnnotation —Vienna, VA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Lead Data Scientist
Association of American Medical Colleges —Washington, DC
- $140,250 - $165,000 a year
- Full-time
- SQL
- Analysis skills
- Children
- Paid parental leave
- Paid holidays
Genomics Researcher - AI Trainer
DataAnnotation —Washington, DC
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Econometrician - AI Trainer
DataAnnotation —Ashburn, VA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Senior Artificial Intelligence Researcher
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $105,000 - $290,000 a year
- Full-time
- 11+ years
- Doctor of Philosophy
- Senior level
- Disability insurance
- Health insurance
2d
Applied Researcher I (AI Foundations)
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Applied Researcher I (AI Foundations)
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Applied Researcher II (AI Foundations)
Capital One —McLean, VA
- Email
- Computer Science
- Mid-level
- Office
- Health insurance
Applied Researcher II (AI Foundations)
Capital One —McLean, VA
- Email
- Computer Science
- Mid-level
- Office
- Health insurance
Applied Researcher II (AI Foundations)
Capital One —McLean, VA
- Email
- Computer Science
- Mid-level
- Office
- 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, LLM Core and Agentic AI)
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
2d
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Research Data Scientist
Swayable —Washington, DC
- $125,000 - $165,000 a year
- Remote
- Computer Science
- Mid-level
- Master's degree
- Health insurance
- Dental 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
AI Research Scientist
Gallup —Washington, DC
- $165,000 - $225,000 a year
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
ARLIS Artificial Intelligence Research Professional
University of Maryland —College Park, MD
- $58,656 - $240,082 a year
- Background check
- Computer science
- Computer Science
Cloud Bioinformatics and AI Specialist
Booz Allen —Bethesda, MD
- $69,400 - $158,000 a year
- Full-time
- Computer science
- Azure
- 5 years
- Health insurance
- Flexible spending account
7d
AI/ML/RL Scientist
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
- Disability insurance
- Health insurance

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ai scientist jobs near silver spring md

Computational Scientist - AI Trainer

DataAnnotation -
Vienna, VA

Quick Apply

Job Details

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

Benefits

Flexible schedule

Qualifications

Computational 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 Computational Scientist - 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

Refine Your Search

ai scientist jobs in silver spring md

Computational Scientist - AI Trainer

Lead Data Scientist

Genomics Researcher - AI Trainer

Econometrician - AI Trainer

Senior Artificial Intelligence Researcher

Applied Researcher I (AI Foundations)

Applied Researcher I (AI Foundations)

Applied Researcher II (AI Foundations)

Applied Researcher II (AI Foundations)

Applied Researcher II (AI Foundations)

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

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

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

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

Research Data Scientist

AI and Data Assimilation Scientist

AI Research Scientist

ARLIS Artificial Intelligence Research Professional

Cloud Bioinformatics and AI Specialist

AI/ML/RL Scientist

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