Top 75 Data scientist Jobs in Richmond Va

Industrial Engineer - AI Trainer
DataAnnotation —Virginia
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
AI/ML Developer - AI Trainer
DataAnnotation —Richmond, VA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
AI and Data Science Engineer III
Deloitte —Richmond, VA
- $113,100 - $208,300 a year
- Full-time
- Azure
- Oracle
- Doctoral degree
7d
AI Engineer Consultant
Deloitte —Richmond, VA
- $93,000 - $171,300 a year
- Full-time
- Azure
- Oracle
- Computer Science
Forward Deployed Engineer- Agentic AI
Deloitte —Richmond, VA
- Full-time
- Azure
- Computer Science
- Up to 50% travel
12d
Data Scientist
Key Cyber Solutions —Richmond, VA
- Part-time
- Computer Science
- Mid-level
- 3 years
Quick Apply
Cheminformatics & Data Scientist/ Senior Cheminformatics & Data Scientist
Virginia Commonwealth University —Richmond, VA
- Up to $125,000 a year
- Part-time
- Hybrid work
- Computer Science
- Bachelor of Science
- Public speaking
- Paid holidays
- Health insurance
Data Analyst, SOM, Internal Medicine, Nephrology Division
Virginia Commonwealth University —Richmond, VA
- $60,000 - $70,000 a year
- Full-time
- Computer Science
- Internal Medicine
- Mid-level
- Paid holidays
- Health insurance
AI Engineer
Luck Stone Corporation —Manakin Sabot, VA
- Full-time
- Azure
- Computer Science
- Mid-level
Quick Apply
Data Scientist
Deloitte —Richmond, VA
- $105,400 - $207,800 a year
- Full-time
- Azure
- Computer Science
- 5 years
5d
Sr. Data Scientist
Software Technology Inc —Richmond, VA
- Weekends as needed
- Writing skills
- Mid-level
- Master's degree
Quick Apply
Senior Manager, Data Analysis
Capital One —Richmond, VA
- Email
- Computer Science
- Office
- Finance
- Health insurance
Senior Manager Data Analytics - People Strategy & Analytics
Capital One —Richmond, VA
- Email
- Computer Science
- Office
- Finance
- Health insurance
Research Analyst | Radiation Oncology | SOM
Virginia Commonwealth University —Richmond, VA
- $30 an hour
- Part-time
- Computer Science
- Mid-level
- University
13d
Machine Learning / Data Science Engineer
CapTech Consulting —Richmond, VA
- Full-time
- Azure
- Management
- DevOps
- Loan repayment program
- Disability insurance
Quick Apply
Senior AI Developer
Virginia Commonwealth University —Richmond, VA
- $68,300 - $105,000 a year
- Full-time
- Remote
- Computer Science
- Research
- Bachelor's degree
- Paid holidays
- Health insurance
NGA AI Engineer Manager
PRICE WATERHOUSE COOPERS —Richmond, VA
- $73,500 - $244,000 a year
- Computer Science
- Master's degree
- High school diploma or GED
- Paid holidays
- Health insurance
NGA AI Engineer Senior Manager
PRICE WATERHOUSE COOPERS —Richmond, VA
- $91,000 - $321,500 a year
- 6 years
- Computer Science
- Master's degree
- Paid holidays
- Health insurance
Senior Manager, Data Scientist - MS CLIP Valuations
Capital One —Richmond, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
2d
Senior ML/AI Engineer
Genworth Financial —Richmond, VA
- $114,900 - $227,000 a year
- Full-time
- Remote
- Computer science
- 7 years
- Azure
- Paid holidays
- Loan repayment program

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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

Refine Your Search

data scientist jobs in richmond va

Industrial Engineer - AI Trainer

AI/ML Developer - AI Trainer

AI and Data Science Engineer III

AI Engineer Consultant

Forward Deployed Engineer- Agentic AI

Data Scientist

Cheminformatics & Data Scientist/ Senior Cheminformatics & Data Scientist

Data Analyst, SOM, Internal Medicine, Nephrology Division

AI Engineer

Data Scientist

Sr. Data Scientist

Senior Manager, Data Analysis

Senior Manager Data Analytics - People Strategy & Analytics

Research Analyst | Radiation Oncology | SOM

Machine Learning / Data Science Engineer

Senior AI Developer

NGA AI Engineer Manager

NGA AI Engineer Senior Manager

Senior Manager, Data Scientist - MS CLIP Valuations

Senior ML/AI Engineer

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