Top 1366 Data scientist Jobs in Tysons Corner, Va

Principal Data Scientist - AI Trainer
DataAnnotation —Chantilly, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- 3 years
- Flexible schedule
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10d
Data Scientist - AI Trainer
DataAnnotation —Falls Church, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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Data Scientist
Agile Defense —Falls Church, VA
- Azure
- Mid-level
- Office
Quick Apply
Data Scientist
Agile Defense —Washington, DC
- $130,000 - $155,000 a year
- Azure
- Mid-level
- Office
- Paid holidays
- Disability insurance
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Data Scientist
BlueLabs, Inc. —Washington, DC
- $85,000 a year
- Remote
- Writing skills
- Mid-level
- Master's degree
- Paid parental leave
- Health insurance
Quick Apply
Data Scientist
ISE Data Systems —Reston, VA
- Continuous improvement
- Entry level
- Profit sharing
- 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
Junior Data Scientist
AITHERAS, LLC —Arlington, VA
- $100,000 - $120,000 a year
- Full-time
- Computer Science
- SQL
- AWS
Quick Apply
Health IT Data Scientist (Hybrid / Telework Eligible)
Red Pulley, Inc. —Washington, DC
- Full-time
- Remote
- Analysis skills
- Experience equivalent to degree accepted
- Senior level
- Health savings account
- Health insurance
8d
Data Scientist
Quantoknack —Ashburn, VA
- Mid-level
- Analysis skills
- Communication skills
Senior Data Scientist
Team Velocity —Herndon, VA
- $160,000 - $190,000 a year
- Online Application
- Remote
- 5 years
- Senior level
- Communication skills
- Health insurance
- Dental insurance
Quick Apply
Data Scientist
Hive Group LLC —McLean, VA
- Email
- Computer Science
- Mid-level
- Office
Quick Apply
Data Scientist II
2U —Washington, DC
- $107,300 - $124,200 a year
- Full-time
- Computer Science
- Mid-level
- Office
- Paid holidays
- Health insurance
Quick Apply
Data Scientist (Remote)
Elder Research —Arlington, VA
- Full-time
- Remote
- 3 years
- Analysis skills
- Senior level
- Paid time off
Quick Apply
Data Scientist
WTAnow —Herndon, VA
- Master's degree
- SQL
- AWS
Data Scientist
Two Six Technologies —Washington, DC
- $100,000 - $150,000 a year
- Email
- Computer Science
- English
- 3 years
Quick Apply
14d
Data Scientist
VivusTech —Chantilly, VA
- Mid-level
- Bachelor's degree
- Mentoring
Junior Data Scientist
Alexandria, VA
- $80,000 - $110,000 a year
- Computer Science
- Mid-level
- Master's degree
- Employee stock ownership plan
Data Scientist - All Levels
Interclypse, Inc. —Reston, VA
- Computer science
- Azure
- Computer Science
- Paid jury duty
- Health savings account
Data Scientist
Black Diamond Consulting Corporation —Washington, DC
- Computer Science
- Engineering
- Travel

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Principal Data Scientist - AI Trainer

DataAnnotation -
Chantilly, VA

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour
10 days ago

Benefits

Flexible schedule

Qualifications

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 Principal Data 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

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