Top 81 Machine learning research Jobs in Portland, Or

Machine Learning Scientist - AI Trainer
DataAnnotation —Vancouver, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Machine Build Electrician
Oregon Tool, Inc. —Portland, OR
- $44 - $47 an hour
- Customer service
- Physical & Rehabilitation Medicine
- Pass drug screening
- Paid holidays
- Health insurance
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
Principal Machine Learning Engineer, Agentic AI
Zillow —Oregon
- $194,200 - $326,600 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Staff Data Scientist
Honor —Portland, OR
- $194,400 - $216,000 a year
- Remote
- Computer science
- 7 years
- Computer Science
Quick Apply
Engineering Manager
DAT —Portland, OR
- $192,000 - $261,000 a year
- Full-time
- Hybrid work
- System design
- 8 years
- AWS
- Health savings account
- AD&D insurance
5d
Lead Process Analyst
Nike —Beaverton, OR
- Remote
- Computer Science
- 5 years
- Analysis skills
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
Lead Data Engineer
Nike —Beaverton, OR
- Full-time
- Management
- Office
- 8 years
Food Service Worker
Oregon Health & Science University —Portland, OR
- $19.05 - $25.39 an hour
- Full-time
- Customer service
- English
- High school diploma or GED
- Paid holidays
- Health insurance
Senior Product Manager - Everand & Fable
Scribd, Inc. —Portland, OR
- $142,000 - $221,500 a year
- Full-time
- 5 years
- Residential
- Product management
- Paid parental leave
- Disability insurance
Lead Engineer, Activity Apps
Nike —Beaverton, OR
- Full-time
- Computer science
- 7 years
- Computer Science
12d
Technology and Media Specialist (10039)
Evergreen Public Schools —Vancouver, WA
- $25.89 - $32.79 an hour
- Part-time
- Classroom
- Computer literacy
- Mid-level
- Health savings account
- AD&D insurance
5d
Lead Product Manager, Search
Scribd, Inc. —Portland, OR
- $151,000 - $256,000 a year
- Full-time
- 6 years
- Computer Science
- Residential
- Paid parental leave
- Disability insurance
Lead Product Manager, Recommendations
Scribd, Inc. —Portland, OR
- $151,000 - $256,000 a year
- Full-time
- Computer Science
- Residential
- 8 years
- Paid parental leave
- Disability insurance
Manager, Software Engineering
Nike —Beaverton, OR
- Full-time
- Office
- Bachelor's degree
- Senior level
Senior Data Scientist
Nike —Beaverton, OR
- Full-time
- Computer Science
- 5 years
- Office
1d
Principal Scientist
Galois, Inc. —Portland, OR
- Full-time
- Hybrid work
- Computer Science
- Office
- Math
- Paid parental leave
- Health savings account
Quick Apply
Food Service Worker - Relief
Oregon Health & Science University —Portland, OR
- $19.05 - $25.39 an hour
- Customer service
- English
- High school diploma or GED
Classified Personnel Specialist (10058)
Evergreen Public Schools —Vancouver, WA
- $38.47 - $45.48 an hour
- 8 hour shift
- Writing skills
- Basic math
- Research
- Health savings account
- AD&D insurance
1d

I want to receive the latest job alert for machine learning research in portland, or

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning research jobs near portland, or

Machine Learning Scientist - AI Trainer

DataAnnotation -
Vancouver, WA

Quick Apply

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
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 Machine Learning 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

machine learning research jobs in portland, or

Machine Learning Scientist - AI Trainer

Machine Build Electrician

AI & Machine Learning Developer

Principal Machine Learning Engineer, Agentic AI

Staff Data Scientist

Engineering Manager

Lead Process Analyst

Data Scientist II

Lead Data Engineer

Food Service Worker

Senior Product Manager - Everand & Fable

Lead Engineer, Activity Apps

Technology and Media Specialist (10039)

Lead Product Manager, Search

Lead Product Manager, Recommendations

Manager, Software Engineering

Senior Data Scientist

Principal Scientist

Food Service Worker - Relief

Classified Personnel Specialist (10058)

I want to receive the latest job alert for machine learning research in portland, or

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected