Top 1265 data scientist Jobs in stanford ca

Principal Data Scientist - AI Trainer
DataAnnotation —San Mateo, CA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Economic Analyst - AI Trainer
DataAnnotation —Sunnyvale, CA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Predictive Modeler - AI Trainer
DataAnnotation —Palo Alto, CA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Data Scientist
Teknatio —Menlo Park, CA
- Remote
- Computer science
- Computer Science
- System design
Staff Data Scientist
Assured —Palo Alto, CA
- $240,000 - $260,000 a year
- Full-time
- Remote
- SQL
- Senior level
- Health savings account
- Paid holidays
Data Science & Analytics
Blocksi —Palo Alto, CA
- Entry level
Computer Vision Engineer
BrightAI —Palo Alto, CA
- Temporary
- Computer Science
- Internship
- Entry level
13d
Data Scientist
GridCARE —Redwood City, CA
- Full-time
- Hybrid work
- Azure
- Computer Science
- Mid-level
Python Developer & Data Analyst
vFunction —Menlo Park, CA
- Computer Science
- Senior level
Applied AI Engineer
Augment Code —Palo Alto, CA
- $225,000 - $300,000 a year
- Mid-level
- Office
- Java
- Commuter assistance
- Health insurance
Pricing Analyst - AI Trainer
DataAnnotation —Fremont, CA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Lead AI Engineer
Tavant Technologies, Inc. —Santa Clara, CA
- $130,000 - $160,000 a year
- Full-time
- Computer Science
- Research
- Java
- Relocation assistance
- Health insurance
Quick Apply
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Amazon.com Services LLC —Sunnyvale, CA
- $183,800 - $260,000 a year
- Full-time
- 5 years
- Fair chance
- Senior level
- AD&D insurance
- Health insurance
Data AI/ML Engineer
Quantum Technologies —Sunnyvale, CA
- $40 - $50 an hour
- Contract
- Background check
- SQL
- AWS
Quick Apply
Applied Scientist, Prime Video - Personalization and Discovery Science
Amazon.com Services LLC —Sunnyvale, CA
- $142,800 - $222,200 a year
- Full-time
- Mid-level
- Fair chance
- 4 years
- AD&D insurance
- Health insurance
2d
Machine Learning Engineer, Level 5
Snapchat —Palo Alto, CA
- $178,000 - $313,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid parental leave
- Health insurance
Senior Applied Scientist
Microsoft —Mountain View, CA
- $119,800 - $258,000 a year
- Full-time
- Hybrid work
- Background check
- Doctoral degree
- Computer Science
Data Scientist II - AMZ26888.1
Amazon Web Services, Inc. - A97 —Mountain View, CA
- $157,300 - $212,800 a year
- Multiple hires
- Computer Science
- Mid-level
- Office
1d
Applied Scientist
Hippocratic AI —Palo Alto, CA
- Full-time
- Computer Science
- Office
- Doctor of Philosophy
Artificial Intelligence (AI) Trainer
Juji —San Jose, CA
- Part-time
- Computer science
- Sales
- English

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data scientist jobs near stanford ca

Principal Data Scientist - AI Trainer

DataAnnotation -
San Mateo, CA

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Job Details

Part-time | Full-time | On demand | Contract
$40 - $60 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 stanford ca

Principal Data Scientist - AI Trainer

Economic Analyst - AI Trainer

Predictive Modeler - AI Trainer

Data Scientist

Staff Data Scientist

Data Science & Analytics

Computer Vision Engineer

Data Scientist

Python Developer & Data Analyst

Applied AI Engineer

Pricing Analyst - AI Trainer

Lead AI Engineer

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Data AI/ML Engineer

Applied Scientist, Prime Video - Personalization and Discovery Science

Machine Learning Engineer, Level 5

Senior Applied Scientist

Data Scientist II - AMZ26888.1

Applied Scientist

Artificial Intelligence (AI) Trainer

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