Top 1775 research 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
Associate Director, Medical Safety (Scientist)
Jazz Pharmaceuticals —Palo Alto, CA
- $156,000 - $234,000 a year
- Bachelor of Science
- Windows
- Presentation skills
- Health insurance
- Dental insurance
Associate Director, Medical Safety (Scientist)
Jazz Pharmaceuticals —Palo Alto, CA
- $156,000 - $234,000 a year
- Bachelor of Science
- Windows
- Presentation skills
- Health insurance
- Dental insurance
Associate Medical Director, Medical Safety
Jazz Pharmaceuticals —Palo Alto, CA
- $212,000 - $318,000 a year
- Medicine
- Computer literacy
- 3 years
- Health insurance
- Dental insurance
Research Analyst (Social Media Investigator)
DigiStream Investigations —Oakland, CA
- From $21 an hour
- Full-time
- Background check
- Writing skills
- HIPAA
- Paid parental leave
- Health savings account
5d
Neuroimaging Research Assistant
Stanford University —Stanford, CA
- $38.55 - $46.68 an hour
- Extended hours
- English
- Mid-level
- Databases
Clinical Research Coordinator II
Stanford University —Stanford, CA
- $86,248 - $100,158 a year
- Extended hours
- HIPAA
- Mid-level
- University
Research Finance Specialist (Remote Opportunity)
Stanford University —Stanford, CA
- $110,307 - $128,195 a year
- Extended hours
- Remote
- Oracle
- Computer literacy
- Writing skills
- Health insurance
- Tuition reimbursement
6d
Clinical Research Coordinator
Stanford University —Stanford, CA
- $86,248 - $100,158 a year
- Extended hours
- HIPAA
- Mid-level
- University
Clinical Research Coordinator Associate
Stanford University —Stanford, CA
- $34.56 - $40.30 an hour
- Overtime
- Mid-level
- University
- Psychology
Laboratory Technicians
Centrillion Technologies, Inc. —Palo Alto, CA
- $40,000 - $60,000 a year
- Microsoft Excel
- Bachelor of Science
- US work authorization
- Health insurance
- Opportunities for advancement
Clinical Research Coordinator 2
Stanford University —Stanford, CA
- $86,248 - $100,158 a year
- Extended hours
- HIPAA
- Mid-level
- Databases
Clinical Research Coordinator 2 (9-Month Fixed Term)
Stanford University —Stanford, CA
- $86,248 - $100,158 a year
- Extended hours
- HIPAA
- Mid-level
- Clinic
Lab Technician II
MyOme —Menlo Park, CA
- $36.06 - $40.87 an hour
- Full-time
- Office
- Bachelor's degree
- Continuous improvement
- Health insurance
- Dental insurance
Executive Assistant
William and Flora Hewlett Foundation —Menlo Park, CA
- $106,000 - $135,000 a year
- Microsoft Excel
- Microsoft Outlook
- 5 years
7d
SCI-CTO Study Start-UP Project Manager (Hybrid)
Stanford University —Stanford, CA
- $86,248 - $100,158 a year
- Extended hours
- HIPAA
- Mid-level
- Bachelor's degree
Life Science Research Professional 2
Stanford University —Stanford, CA
- $85,376 - $99,581 a year
- Extended hours
- Computer literacy
- Mid-level
- Master's degree
Laboratory Operation Assistant (Temp to Perm)
Arc Institute —Palo Alto, CA
- $25 - $31 an hour
- Full-time
- Customer service
- Bachelor of Science
- Ability to lift 50 pounds
Life Science Research Professional 1
Stanford University —Stanford, CA
- $32.58 - $38.48 an hour
- Extended hours
- Bachelor of Science
- Pass drug screening
- Maintenance
High-Speed Photodetector Chip R&D Engineer
Vertilite Inc. —San Jose, CA
- $110,000 - $170,000 a year
- Full-time
- Hybrid work
- Background check
- Microsoft Excel
- Doctoral degree
- Relocation assistance
- Flexible schedule
Quick Apply

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Principal Data Scientist - AI Trainer

DataAnnotation -
San Mateo, CA

Quick Apply

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

research jobs in stanford ca

Principal Data Scientist - AI Trainer

Associate Director, Medical Safety (Scientist)

Associate Director, Medical Safety (Scientist)

Associate Medical Director, Medical Safety

Research Analyst (Social Media Investigator)

Neuroimaging Research Assistant

Clinical Research Coordinator II

Research Finance Specialist (Remote Opportunity)

Clinical Research Coordinator

Clinical Research Coordinator Associate

Laboratory Technicians

Clinical Research Coordinator 2

Clinical Research Coordinator 2 (9-Month Fixed Term)

Lab Technician II

Executive Assistant

SCI-CTO Study Start-UP Project Manager (Hybrid)

Life Science Research Professional 2

Laboratory Operation Assistant (Temp to Perm)

Life Science Research Professional 1

High-Speed Photodetector Chip R&D Engineer

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