Top 63 Data scientist Jobs in Portland, Or

Principal Data Scientist - AI Trainer
DataAnnotation —Vancouver, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Machine Learning Scientist - AI Trainer
DataAnnotation —Vancouver, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
AI & Machine Learning Developer
Johnson Health Tech North America Inc —Vancouver, WA
- $99,000 - $119,000 a year
- Full-time
- Computer Science
- Research
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
Data Scientist I or II (MAD-BS-OR)
Hitachi —Hillsboro, OR
- $99,608 - $167,301 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Bachelor of Science
AI Training Generalist (No Prior Experience Needed) - Freelance AI Trainer Project
Meridial —Portland, OR
- $20 an hour
- Remote
- No experience needed
- US work authorization
- Entry level
Data Scientist II
Scribd, Inc. —Portland, OR
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
Staff Data Scientist
Honor —Portland, OR
- $194,400 - $216,000 a year
- Remote
- Computer science
- 7 years
- Computer Science
Quick Apply
Principal Data Scientist
Columbia Sportswear Company —Portland, OR
- Email
- Hybrid work
- Computer Science
- Office
- 3 years
- Health savings account
- Health insurance
Lead Process Analyst
Nike —Beaverton, OR
- Remote
- Computer Science
- 5 years
- Analysis skills
Data Scientist
Concora Credit Inc. —Beaverton, OR
- Full-time
- Computer Science
- SQL
- Math
- AD&D insurance
- Paid holidays
Quick Apply
Data Scientist
AZAD Technology Partners —Vancouver, WA
- $65 - $70 an hour
- Hybrid work
- 7 years
- Computer Science
- Office
- Health insurance
- Dental insurance
Quick Apply
4d
Data Scientist I or II (MAD-BS-OR)
Hitachi Rail —Hillsboro, OR
- $99,608 - $167,301 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Bachelor of Science
Senior Data Scientist Engineer - SFL Scientific
Deloitte —Portland, OR
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office
Senior Data Scientist - Forecasting
Tiger Analytics Inc. —Portland, OR
- Full-time
- Hybrid work
- Azure
- 5 years
- SQL
Quick Apply
Cyber - SecOps - Consultant
Deloitte —Portland, OR
- $82,600 - $162,800 a year
- Full-time
- Azure
- Up to 50% travel
- Engineering
4d
Senior Data Analyst, Customer Operations
Scribd, Inc. —Portland, OR
- $97,000 - $146,000 a year
- Full-time
- Residential
- SQL
- Analysis skills
- Paid parental leave
- Disability insurance
Simulation Engineer - AI Trainer
DataAnnotation —Portland, OR
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Quantitative Trader - AI Trainer
DataAnnotation —Portland, OR
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Principal Machine Learning Engineer, Agentic AI
Zillow —Oregon
- $194,200 - $326,600 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Civic Data Analyst (Sustainable Mobility)
Alta Planning + Design —Portland, OR
- $65,000 - $80,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid parental leave
- Health savings account
Quick Apply

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data scientist jobs near portland, or

Principal Data Scientist - AI Trainer

DataAnnotation -
Vancouver, WA

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Job Details

Part-time | Full-time | Contract
$50 - $100 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 Principal Data Scientist - 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 portland, or

Principal Data Scientist - AI Trainer

Machine Learning Scientist - AI Trainer

AI & Machine Learning Developer

Data Scientist I or II (MAD-BS-OR)

AI Training Generalist (No Prior Experience Needed) - Freelance AI Trainer Project

Data Scientist II

Staff Data Scientist

Principal Data Scientist

Lead Process Analyst

Data Scientist

Data Scientist

Data Scientist I or II (MAD-BS-OR)

Senior Data Scientist Engineer - SFL Scientific

Senior Data Scientist - Forecasting

Cyber - SecOps - Consultant

Senior Data Analyst, Customer Operations

Simulation Engineer - AI Trainer

Quantitative Trader - AI Trainer

Principal Machine Learning Engineer, Agentic AI

Civic Data Analyst (Sustainable Mobility)

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