Top 1250 Data scientist Jobs in Cupertino Ca

Economic Analyst - AI Trainer
DataAnnotation —Menlo Park, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
7d
Analytics Engineer - AI Trainer
DataAnnotation —Santa Clara, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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7d
Data Scientist
Sajix Software Solution Private Limited —Pleasanton, CA
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
Data Scientist, CapCut - USDS
TikTok USDS JV —San Jose, CA
- $144,000 - $329,334 a year
- Hybrid work
- Computer Science
- Mid-level
- SQL
- Paid parental leave
- Paid holidays
Data Scientist
Teknatio —Menlo Park, CA
- Remote
- Computer science
- Computer Science
- System design
Data Scientist, Payment Risk - USDS
TikTok USDS JV —San Jose, CA
- $144,000 - $329,334 a year
- Hybrid work
- Computer Science
- Mid-level
- 3 years
- Paid parental leave
- Paid holidays
WPC Apple Card Data Scientist
Apple —Cupertino, CA
- $175,500 - $311,700 a year
- Computer Science
- Engineering
- Office
- Employee stock purchase plan
- Health insurance
7d
Senior Data Scientist
ServiceNow —Mountain View, CA
- $161,300 - $274,200 a year
- Online Application
- Computer Science
- 5 years
- System design
Quick Apply
Data Scientist
Tarro —San Mateo, CA
- $180,000 - $250,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 3 years
Data Science & Analytics
Blocksi —Palo Alto, CA
- Entry level
Data Scientist
Stanford Blood Center —Palo Alto, CA
- $75 - $100 an hour
- Contract
- Hybrid work
- Computer Science
- Mid-level
- Master's degree
- Flexible schedule
Quick Apply
9d
Data Scientist
Fullpower Technologies, Inc. —Santa Cruz, CA
- $130,000 - $170,000 a year
- Full-time
- Computer Science
- Mid-level
- SQL
Data Scientist
NutaNXT Technologies —Santa Clara, CA
- Azure
- Mid-level
- SQL
Data Engineer, Emerging Product-USDS
TikTok USDS JV —San Jose, CA
- $136,800 - $359,720 a year
- Hybrid work
- Computer Science
- Bachelor of Science
- Mid-level
- Paid parental leave
- Paid holidays
Senior Data Scientist, Product Analytics - USDS
TikTok USDS JV —San Jose, CA
- $144,000 - $329,334 a year
- Hybrid work
- Computer Science
- Bachelor of Science
- Office
- Paid parental leave
- Paid holidays
Data Scientist, Payment Analytics - USDS
TikTok USDS JV —San Jose, CA
- $144,000 - $329,334 a year
- Hybrid work
- 3 years
- SQL
- Fair chance
- Paid parental leave
- Paid holidays
Data Science Analyst
Banyan Data Services —San Jose, CA
- Computer Science
- Mid-level
- SQL
- Paid parental leave
- Work from home
Data Scientist and AI Engineer
SKT Lab —Santa Clara, CA
- Email
- Computer Science
- 5 years
- SQL
Senior Data Scientist, Payment Analytics - USDS
TikTok USDS JV —San Jose, CA
- $176,356 - $329,334 a year
- Hybrid work
- 3 years
- SQL
- Fair chance
- Paid parental leave
- Paid holidays
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
- AD&D insurance
- Health insurance

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Economic Analyst - AI Trainer

DataAnnotation -
Menlo Park, CA

Quick Apply

Job Details

Part-time | Full-time | Contract
$50 - $100 an hour
7 days ago

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 Economic Analyst - 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

data scientist jobs in cupertino ca

Economic Analyst - AI Trainer

Analytics Engineer - AI Trainer

Data Scientist

Data Scientist, CapCut - USDS

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Data Scientist, Payment Risk - USDS

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Data Scientist

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Data Engineer, Emerging Product-USDS

Senior Data Scientist, Product Analytics - USDS

Data Scientist, Payment Analytics - USDS

Data Science Analyst

Data Scientist and AI Engineer

Senior Data Scientist, Payment Analytics - USDS

Data Scientist II - AMZ26888.1

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