Top 383 Data quality engineer Jobs in Richmond, Va

Industrial Engineer - AI Trainer
DataAnnotation —Virginia
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Software Designer - AI Trainer
DataAnnotation —Richmond, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Principal Electrical Engineer
System One —Colonial Heights, VA
- Microsoft Outlook
- Senior level
- Electrical Engineering
- Health insurance
- Dental insurance
Quick Apply
Engineer Senior Construction Management
Virginia Department of Transportation —Mechanicsville, VA
- Full-time
- Engineering
- Research
- Senior level
13d
Metallurgist
Gerdau —Petersburg, VA
- Full-time
- Engineering
- Mid-level
- Bachelor's degree
Quick Apply
Takeoff Engineer
Old Dominion Heat Trace —Midlothian, VA
- $60,000 - $70,000 a year
- Full-time
- Spanish
- English
- Office
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Lead Structural Engineer 1 - Nuclear
Sargent & Lundy —Richmond, VA
- $118,023 - $180,313 a year
- Full-time
- Hybrid work
- Management
- Office
- Analysis skills
- Paid parental leave
- Health savings account
Eng Traffic
Virginia Department of Transportation —Colonial Heights, VA
- Full-time
- Engineering
- Mid-level
- Civil Engineering
3d
Lead Data Privacy Engineer
CVS Health —Richmond, VA
- $106,605 - $284,280 a year
- Full-time
- Azure
- HIPAA
- 3 years
- Health insurance
- Dental insurance
Big Data Engineer
AdvanSix —Hopewell, VA
- $104,600 - $156,800 a year
- Full-time
- Remote
- System design
- SQL
- Senior level
- Health savings account
- Paid holidays
Quick Apply
Data Engineer, Finance Data & BI
McKesson —Richmond, VA
- $106,500 - $177,500 a year
- System design
- Office
- Java
Senior Data Engineer
Kemper Insurance —Richmond, VA
- $99,000 - $164,800 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Java
- Health insurance
- Dental insurance
Quick Apply
4d
Data Engineer
EAB —Richmond, VA
- $75,000 - $85,000 a year
- Full-time
- Mid-level
- SQL
- AWS
- Commuter assistance
- Paid parental leave
15h
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Richmond, VA
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Managed Services - Data Engineer - Experienced Associate
PRICE WATERHOUSE COOPERS —Richmond, VA
- $63,000 - $140,000 a year
- Computer Science
- Mid-level
- Java
- Paid holidays
- Health insurance
Supplier Quality Engineer
Hyper Solutions Inc —Richmond, VA
- $90,000 - $110,000 a year
- Engineering
- Mid-level
- 3 years
- Health insurance
- Dental insurance
Lead AI Engineer
CareScout —Richmond, VA
- $120,900 - $234,000 a year
- Full-time
- Remote
- Computer science
- 7 years
- Azure
- Paid holidays
- Loan repayment program
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Richmond, VA
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Quality Control Engineer
ABB Inc. —Richmond, VA
- $58,500 - $93,600 a year
- Full-time
- Engineering
- Mid-level
- Microsoft Office
- Paid parental leave
- Health savings account
Quick Apply
11d
Managed Services - Data Engineer (Databricks & Kafka) - Senior Associate
PRICE WATERHOUSE COOPERS —Richmond, VA
- $77,000 - $202,000 a year
- Computer Science
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance

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data quality engineer jobs near richmond, va

Industrial Engineer - AI Trainer

DataAnnotation -
Virginia

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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

data quality engineer jobs in richmond, va

Industrial Engineer - AI Trainer

Software Designer - AI Trainer

Principal Electrical Engineer

Engineer Senior Construction Management

Metallurgist

Takeoff Engineer

Lead Structural Engineer 1 - Nuclear

Eng Traffic

Lead Data Privacy Engineer

Big Data Engineer

Data Engineer, Finance Data & BI

Senior Data Engineer

Data Engineer

Data Engineer - Senior Associate

Managed Services - Data Engineer - Experienced Associate

Supplier Quality Engineer

Lead AI Engineer

Data Engineer - Senior Manager

Quality Control Engineer

Managed Services - Data Engineer (Databricks & Kafka) - Senior Associate

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