Top 972 Data scientist Jobs in San Francisco, Ca

Data Scientist - AI Trainer
DataAnnotation —Richmond, CA
- $50.00 - $140.56 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
8d
Computational Scientist - AI Trainer
DataAnnotation —Richmond, CA
- $50.00 - $140.56 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
8d
Data Scientist
University of California San Francisco —San Francisco, CA
- Full-time
- Azure
- Computer Science
- Mid-level
Data Scientist, Analytics
Discord —San Francisco Bay Area, CA
- $180,000 - $220,000 a year
- Full-time
- Mid-level
- SQL
- Analysis skills
4d
Data Scientist
Block, Inc. —San Francisco Bay Area, CA
- $178,200 - $297,000 a year
- Remote
- Salesforce
- 3 years
- Master's degree
- Life insurance
- Retirement plan
1d
Data Scientist
Twitch —San Francisco, CA
- $136,000 - $212,800 a year
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Disability insurance
12d
Senior AI ML Engineer - Remote
UnitedHealth Group —San Francisco, CA
- $120,100 - $214,500 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Pass drug screening
AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —San Francisco Bay Area, CA
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —San Francisco Bay Area, CA
- Full-time
- Remote
- Senior level
Quick Apply
Lead, AI Engineering
Bain & Co. —San Francisco, CA
- $203,500 a year
- Full-time
- System design
- Office
- Continuous improvement
- Wellness program
- Paid holidays
Quick Apply
AI/ML Applied Scientist - Remote
UnitedHealth Group —San Francisco, CA
- $112,300 - $134,800 a year
- Full-time
- Hybrid work
- Computer Science
- Pass drug screening
- Office
5d
Founding AI/ML Engineer
David Joseph & Company —San Francisco, CA
- $125,000 - $200,000 a year
- Full-time
- Background check
- System design
- Mid-level
Quick Apply
10d
Research Scientist, Post-Training
David Joseph & Company —San Francisco, CA
- $150,000 - $250,000 a year
- Full-time
- Sales
- Mid-level
- Doctor of Philosophy
- Profit sharing
Quick Apply
10d
Founding Applied ML Engineer
David Joseph & Company —San Francisco, CA
- $130,000 - $250,000 a year
- Full-time
- Mid-level
- Office
- SQL
Quick Apply
Data Scientist
Retool —San Francisco, CA
- $182,800 - $250,000 a year
- Hybrid work
- 5 years
- SQL
- Senior level
- Health insurance
- Dental insurance
1d
Associate Data Scientist
Hayden AI —San Francisco, CA
- $120,694 - $156,920 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance
Data Scientist II - AMZ27351.1
Amazon Web Services, Inc. - A97 —San Francisco, CA
- $157,300 - $212,800 a year
- Multiple hires
- Computer Science
- Mid-level
- Office
- AD&D insurance
- Health insurance
Data Scientist
Triumph —San Francisco, CA
- $200,000 - $400,000 a year
- Full-time
- Computer Science
- Office
- SQL
- Health insurance
- 401(k)
Data Scientist
Parafin —San Francisco, CA
- $200,000 - $330,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Commuter assistance
- Paid parental leave
Data Scientist
Ramp —San Francisco, CA
- $137,120 - $297,330 a year
- Full-time
- Hybrid work
- Mid-level
- SQL
- Home Health
- Travel reimbursement
- AD&D insurance

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data scientist jobs near san francisco, ca

Data Scientist - AI Trainer

DataAnnotation -
Richmond, CA

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Job Details

Part-time | Full-time | Contract
$50.00 - $140.56 an hour
8 days ago

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 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

Refine Your Search

data scientist jobs in san francisco, ca

Data Scientist - AI Trainer

Computational Scientist - AI Trainer

Data Scientist

Data Scientist, Analytics

Data Scientist

Data Scientist

Senior AI ML Engineer - Remote

AWS AI Engineer / USC and GC Candidates can ONLY Apply

GENAI / MACHINE LEARNING AI / DATA Scientist

Lead, AI Engineering

AI/ML Applied Scientist - Remote

Founding AI/ML Engineer

Research Scientist, Post-Training

Founding Applied ML Engineer

Data Scientist

Associate Data Scientist

Data Scientist II - AMZ27351.1

Data Scientist

Data Scientist

Data Scientist

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