Top 1765 Data scientist Jobs in Castro Valley Ca

Principal Data Scientist - AI Trainer
DataAnnotation —San Mateo, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- 3 years
- Flexible schedule
Quick Apply
Data Scientist - AI Trainer
DataAnnotation —Mountain View, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Data Scientist
Sajix Software Solution Private Limited —Pleasanton, CA
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
Data Scientist
Teknatio —Menlo Park, CA
- Remote
- Computer science
- Computer Science
- System design
Data Scientist
NutaNXT Technologies —Santa Clara, CA
- Azure
- Mid-level
- SQL
Associate Data Scientist
Quantifind —Palo Alto, CA
- $100,000 - $130,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid time off
- 401(k) matching
Data Scientist
Golden State —San Francisco, CA
- $165,000 a year
- Weekends as needed
- Remote
- Computer science
- Azure
- Computer Science
- Store discount
- Health insurance
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 Scientist
Sajix —Pleasanton, CA
- Computer Science
- Master's degree
- Bachelor's degree
Data Scientist
Dyneti —San Mateo, CA
- Full-time
- Hybrid work
- Data analysis skills
- Research
- Mid-level
Data Scientist
The Voleon Group —Berkeley, CA
- $150,000 - $190,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Referral program
Data Scientist
Quantifind —Palo Alto, CA
- $140,000 - $170,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
Data Scientist
Twitch —San Francisco, CA
- $136,000 - $212,800 a year
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Disability insurance
Data Scientist
University of California San Francisco —San Francisco, CA
- Full-time
- Azure
- Computer Science
- Mid-level
Data Scientist
Finrise —Burlingame, CA
- Email
- Mid-level
- Math
- Bachelor's degree
Data Scientist I, Tech
Uber —San Francisco, CA
- $125,000 - $139,000 a year
- Full-time
- Engineering
- Office
- SQL
8d
Data Scientist
Triumph —San Francisco, CA
- $200,000 - $400,000 a year
- Full-time
- Computer Science
- Office
- SQL
- Health insurance
- 401(k)
Data Scientist
Google —San Bruno, CA
- $164,450 - $211,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- SQL
Data Scientist
Lawrence Livermore National Laboratory —Livermore, CA
- $121,830 - $185,544 a year
- Full-time
- Hybrid work
- Computer Science
- Pass drug screening
- System design
- Relocation assistance
- 401(k)
2d
Data Scientist
Molex —Fremont, CA
- $160,000 - $200,000 a year
- CAD
- Pass drug screening
- SQL
- Paid parental leave
- Health savings account
3d

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Principal Data Scientist - AI Trainer

DataAnnotation -
San Mateo, CA

Quick Apply

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 Principal Data Scientist - 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

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