Top 149 Aws Jobs in Suffolk, Va

Industrial Engineer - AI Trainer
DataAnnotation —Virginia
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
ACAS Administrator (TS/SCI clearance)
Leidos —Newport News, VA
- $87,100 - $157,450 a year
- Full-time
- Azure
- Computer Science
- 5 years
Computational Neuroscientist - AI Trainer
DataAnnotation —Newport News, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
11d
Systems Engineer (Entry Level to SME) TS/SCI with Poly REQUIRED
CGI Group, Inc. —Virginia
- $89,600 - $204,000 a year
- Schematics
- Office
- Master's degree
- Paid parental leave
- Paid holidays
1d
Computational Chemist - AI Trainer
DataAnnotation —Newport News, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
11d
Senior Quantitative Analyst - AI Trainer
DataAnnotation —Virginia
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
14d
Manager, IT Application Development - BackOffice Applications
Family Dollar —Chesapeake, VA
- $123,000 - $153,500 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Dental insurance
- 401(k)
Quick Apply
4d
EHS Specialist
Amazon.com Services LLC —Suffolk, VA
- $27 - $33 an hour
- Weekends as needed
- Microsoft Word
- CPR Certification
- Microsoft Excel
- AD&D insurance
- Health insurance
AWS Senior Site Reliability Engineer
UST —Norfolk, VA
- $90,000 - $135,000 a year
- Fair chance
- Senior level
- Communication skills
- Paid jury duty
- Health savings account
Quick Apply
Associate Learning & Development Trainer, Associate Learning & Development
Amazon.com Services LLC —Suffolk, VA
- $24 - $25 an hour
- Full-time
- Classroom
- CDL A
- Mid-level
- Employee assistance program
- 401(k) matching
12d
Software Engineer, Platform - Norfolk, VA, USA
Speechify —Norfolk, VA
- $140,000 - $200,000 a year
- Remote
- Azure
- Mid-level
- AWS
Operations Manager
Amazon.com Services LLC —Suffolk, VA
- $91,000 - $136,500 a year
- Weekends as needed
- Customer service
- Military
- Engineering
- AD&D insurance
- Health insurance
Sr. HR Business Partner, NASC
Amazon.com Services LLC —Suffolk, VA
- $130,000 - $175,900 a year
- Full-time
- 5 years
- Bachelor's degree
- Experience equivalent to degree accepted
- AD&D insurance
- Health insurance
6h
Data Analyst/Dashboard Developer
Koniag Government Services —Hampton, VA
- $104,000 - $120,000 a year
- Extended hours
- Azure
- Mid-level
- Office
- Paid holidays
- Health insurance
Salesforce Healthcloud Architect
Cognizant —Norfolk, VA
- $120,000 - $175,000 a year
- Full-time
- Remote
- 11+ years
- AWS
- Analysis skills
- Paid parental leave
- Employee stock purchase plan
Sr. Operations Manager
Amazon.com Services LLC —Chesapeake, VA
- $135,000 - $182,700 a year
- Weekends as needed
- 7 years
- Engineering
- Mentoring
- AD&D insurance
- Health insurance
6h
Senior Site EHS Manager
Amazon.com Services LLC —Suffolk, VA
- $149,600 - $202,400 a year
- Weekends as needed
- 7 years
- Writing skills
- Ability to climb stairs
- AD&D insurance
- Health insurance
Area Manager II
Amazon.com Services LLC —Suffolk, VA
- $70,000 - $90,900 a year
- Weekends as needed
- Customer service
- Military
- Engineering
- AD&D insurance
- Health insurance
Site EHS Manager III
Amazon.com Services LLC —Chesapeake, VA
- $94,200 - $141,400 a year
- Full-time
- Ability to climb stairs
- Master's degree
- Analysis skills
- AD&D insurance
- Health insurance
Cyber Security
CACI —Norfolk, VA
- $75,200 - $158,100 a year
- Full-time
- Bachelor of Science
- System design
- Mid-level
- Health insurance

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aws jobs near suffolk, va

Industrial Engineer - AI Trainer

DataAnnotation -
Virginia

Quick Apply

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

aws jobs in suffolk, va

Industrial Engineer - AI Trainer

ACAS Administrator (TS/SCI clearance)

Computational Neuroscientist - AI Trainer

Systems Engineer (Entry Level to SME) TS/SCI with Poly REQUIRED

Computational Chemist - AI Trainer

Senior Quantitative Analyst - AI Trainer

Manager, IT Application Development - BackOffice Applications

EHS Specialist

AWS Senior Site Reliability Engineer

Associate Learning & Development Trainer, Associate Learning & Development

Software Engineer, Platform - Norfolk, VA, USA

Operations Manager

Sr. HR Business Partner, NASC

Data Analyst/Dashboard Developer

Salesforce Healthcloud Architect

Sr. Operations Manager

Senior Site EHS Manager

Area Manager II

Site EHS Manager III

Cyber Security

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