Top 220 ai scientist Jobs in berkeley ca

Decision Scientist - AI Trainer
DataAnnotation —Berkeley, CA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Economic Analyst - AI Trainer
DataAnnotation —Hayward, CA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Political Scientist - AI Trainer
DataAnnotation —San Francisco, CA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Research Scientist - AI Trainer
DataAnnotation —California
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Cryptography Research Scientist, FHE & PQC
LG Electronics —San Francisco, CA
- $169,000 - $186,000 a year
- Full-time
- Hybrid work
- Computer Science
- Analysis skills
- Math
- Paid parental leave
- Paid holidays
Quick Apply
13d
Research Data Analyst
University of California San Francisco —San Francisco, CA
- Full-time
- Research
- Mid-level
- Math
Research Data Scientist
Swayable —San Francisco, CA
- $125,000 - $165,000 a year
- Computer Science
- Mid-level
- Master's degree
- Health insurance
- Dental insurance
Researcher, Health AI
OpenAI —San Francisco, CA
- $295,000 - $445,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- Doctor of Philosophy
AI Researcher, AI.x
Charles Schwab —San Francisco, CA
- $180,000 - $230,000 a year
- Hybrid work
- 7 years
- Computer Science
- Office
- Paid parental leave
- Employee stock purchase plan
Data Scientist
University of California San Francisco —San Francisco, CA
- Full-time
- Mid-level
- Databases
- University
ML Engineer, Biological Analysis & Simulation
Mithrl —San Francisco, CA
- $150,000 - $200,000 a year
- Full-time
- Office
- Analysis skills
- Senior level
- Health insurance
- Dental insurance
Applied Data Scientist - Research
HG Insights —San Francisco, CA
- SQL
- APIs
- Senior level
Quick Apply
ML Researcher
Rosebud AI —San Francisco Bay Area, CA
- Remote
- Research
- Senior level
AI Research Resident
Polymath —San Francisco, CA
- Contract
- Remote
- Computer science
- Computer Science
- Entry level
Quick Apply
Applied AI Scientist
Echo Neurotechnologies —San Francisco, CA
- Full-time
- Hybrid work
- 5 years
- Engineering
- Senior level
- 401(k) matching
Staff Data Scientist, Clinical Performance
Pearl Health —San Francisco, CA
- $160,000 - $200,000 a year
- Full-time
- Remote
- System design
- Master's degree
- 8 years
AI Researcher
AGI, Inc. —San Francisco, CA
- Full-time
- Mid-level
Bioinformatics Data Scientist
Ansa Biotechnologies —Emeryville, CA
- $131,250 - $183,750 a year
- Computer Science
- Analysis skills
- Doctor of Philosophy
- Health insurance
- Dental insurance
BIOINFORMATICS PROGR
University of California San Francisco —San Francisco, CA
- University
- Senior level
- AI
Machine Learning Scientist / Senior Machine Learning Scientist, Virtual Cell
Altos Labs —San Francisco Bay Area, CA
- $200,900 - $330,000 a year
- Computer Science
- Doctor of Philosophy
- Senior level

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Decision Scientist - AI Trainer

DataAnnotation -
Berkeley, 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 Decision 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

ai scientist jobs in berkeley ca

Decision Scientist - AI Trainer

Economic Analyst - AI Trainer

Political Scientist - AI Trainer

Research Scientist - AI Trainer

Cryptography Research Scientist, FHE & PQC

Research Data Analyst

Research Data Scientist

Researcher, Health AI

AI Researcher, AI.x

Data Scientist

ML Engineer, Biological Analysis & Simulation

Applied Data Scientist - Research

ML Researcher

AI Research Resident

Applied AI Scientist

Staff Data Scientist, Clinical Performance

AI Researcher

Bioinformatics Data Scientist

BIOINFORMATICS PROGR

Machine Learning Scientist / Senior Machine Learning Scientist, Virtual Cell

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