Top 164 Remote data Jobs in Washington State

Data Science Consultant - AI Trainer
DataAnnotation —Bellevue, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Research Data Scientist - AI Trainer
DataAnnotation —Quincy, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
10d
Procurement Specialist - AI Trainer
DataAnnotation —Seattle, WA
- $50 - $100 an hour
- Part-time
- Remote
- English
- Mid-level
- Master's degree
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Staff Data Scientist - AI Trainer
DataAnnotation —Redmond, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
14d
Cash Management Analyst - AI Trainer
DataAnnotation —Bellevue, WA
- $50 - $100 an hour
- Part-time
- Remote
- English
- Mid-level
- Master's degree
Quick Apply
AI Data Quality Specialist - AI Trainer
DataAnnotation —Washington State
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Data Coordinator II
Fred Hutchinson Cancer Center —Seattle, WA
- $27.01 - $38.45 an hour
- Full-time
- Remote
- Bachelor of Science
- Mid-level
- Bachelor's degree
- Paid parental leave
- Paid holidays
3d
Data Engineer
CVS Health —Washington State
- $64,890 - $173,040 a year
- Full-time
- Remote
- Computer Science
- Bachelor of Science
- Mid-level
- Health insurance
- Dental insurance
4d
Principal Data Engineer IS - Remote
Providence —Washington State
- $52.12 - $121.29 an hour
- Full-time
- Remote
- Azure
- Computer Science
- System design
- Paid parental leave
- Paid holidays
AI & Data Systems Engineer (Remote)
Ceribell, Inc —Seattle, WA
- $141,000 - $173,000 a year
- Email
- Remote
- Azure
- Computer Science
- Salesforce
- Employee stock purchase plan
- Paid holidays
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Senior Marketing Data Analyst
AfterShip —Seattle, WA
- $141,000 - $165,000 a year
- Remote
- English
- SQL
- Senior level
- Commuter assistance
- Health insurance
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Data Scientist, Product Analytics
Whatnot —Seattle, WA
- $185,000 - $260,000 a year
- Full-time
- Remote
- Computer Science
- 3 years
- SQL
- Paid parental leave
- Health insurance
Business Support Senior Analyst, Revenue Cycle
CVS Health —Washington State
- $46,988 - $122,400 a year
- Full-time
- Remote
- Microsoft Outlook
- SQL
- Bachelor's degree
- Health insurance
- Dental insurance
Data Scientist, Customer Experience
Whatnot —Seattle, WA
- $162,000 - $215,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- SQL
- Paid parental leave
- Health insurance
Data Analytics Engineer
Mutual of Enumclaw Insurance Company —Enumclaw, WA
- $140,891 - $171,631 a year
- Full-time
- Remote
- Computer science
- Computer Science
- 5 years
Product Data Manager
Pow Interactive Holdings Corp —Washington State
- $85,000 - $100,000 a year
- Remote
- Google Workspace
- ERP systems
- Mid-level
- Paid time off
- Flexible schedule
Quick Apply
Manager, Clinical Data Management
Alimentiv —Seattle, WA
- $99,500 - $160,000 a year
- Full-time
- Remote
- 7 years
- Mentoring
- Recruiting
- Health insurance
- Dental insurance
Quick Apply
10d
Economic Analyst - AI Trainer
DataAnnotation —Bothell, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Analytics Engineer - AI Trainer
DataAnnotation —Seattle, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Fund Analyst - AI Trainer
DataAnnotation —Everett, WA
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Analysis skills
Quick Apply

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remote data jobs near washington state

Data Science Consultant - AI Trainer

DataAnnotation -
Bellevue, WA

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour

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 Data Science Consultant - 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

remote data jobs in washington state

Data Science Consultant - AI Trainer

Research Data Scientist - AI Trainer

Procurement Specialist - AI Trainer

Staff Data Scientist - AI Trainer

Cash Management Analyst - AI Trainer

AI Data Quality Specialist - AI Trainer

Data Coordinator II

Data Engineer

Principal Data Engineer IS - Remote

AI & Data Systems Engineer (Remote)

Senior Marketing Data Analyst

Data Scientist, Product Analytics

Business Support Senior Analyst, Revenue Cycle

Data Scientist, Customer Experience

Data Analytics Engineer

Product Data Manager

Manager, Clinical Data Management

Economic Analyst - AI Trainer

Analytics Engineer - AI Trainer

Fund Analyst - AI Trainer

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