Top 732 Ai ml engineer Jobs in Palo Alto Ca

Industrial Engineer - AI Trainer
DataAnnotation —San Jose, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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AI/ML Developer - AI Trainer
DataAnnotation —Milpitas, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —Menlo Park, CA
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
Software Development Engineer I – AI/ML Network Infrastructure, Annapurna Labs
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $127,100 - $185,000 a year
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
- AD&D insurance
- Health insurance
5d
Android AI/ML Engineer
Vibotek LLC —Mountain View, CA
- Contract
- 5 years
- System design
- Master's degree
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AI/ML Engineer - Agentic
Hewlett Packard Enterprise —San Jose, CA
- $136,500 - $276,500 a year
- Full-time
- Computer science
- Computer Science
- System design
Junior Applied AI Engineer- HRIS
Fortinet —Sunnyvale, CA
- $105,000 - $140,000 a year
- Full-time
- Azure
- Computer Science
- SQL
- Paid holidays
- Disability insurance
AI/ML Developer - AI Trainer
DataAnnotation —Hayward, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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AI/ML Developer - AI Trainer
DataAnnotation —Los Altos, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —Sunnyvale, CA
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —San Jose, CA
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —San Jose, CA
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
Data Scientist - Machine Learning
Tailored Shared Services, LLC —Dublin, CA
- $80,700 - $110,000 a year
- Full-time
- 3 years
- Master's degree
- SQL
- Store discount
- Paid jury duty
Quick Apply
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —San Jose, CA
- Full-time
- Remote
- Senior level
Quick Apply
AI Engineer
Risa Labs —Palo Alto, CA
- Computer science
- Computer Science
- System design
Software Engineer, Generative Media AI, Apparel ML
Google —Mountain View, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
5d
AI & Machine Learning Engineer
Sustainable Talent —Santa Clara, CA
- $90 - $130 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid time off
Quick Apply
Software Engineer, AI/ML GenAI, Geo
Google —Mountain View, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Full Stack Engineer (AML), AI & Data Platforms (AiDP)
Apple —Sunnyvale, CA
- $150,400 - $225,300 a year
- Computer Science
- Bachelor of Science
- System design
- Employee stock purchase plan
- Health insurance
Machine Learning Engineer, AI Safety & Security – Supporting NVIDIA – Santa Clara (Hybrid)
Sustainable Talent —Santa Clara, CA
- $90 - $130 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid time off
Quick Apply

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ai ml engineer jobs near palo alto ca

Industrial Engineer - AI Trainer

DataAnnotation -
San Jose, CA

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour

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 Industrial Engineer - 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.

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Refine Your Search

ai ml engineer jobs in palo alto ca

Industrial Engineer - AI Trainer

AI/ML Developer - AI Trainer

AWS AI Engineer / USC and GC Candidates can ONLY Apply

Software Development Engineer I – AI/ML Network Infrastructure, Annapurna Labs

Android AI/ML Engineer

AI/ML Engineer - Agentic

Junior Applied AI Engineer- HRIS

AI/ML Developer - AI Trainer

AI/ML Developer - AI Trainer

AWS AI Engineer / USC and GC Candidates can ONLY Apply

AWS AI Engineer / USC and GC Candidates can ONLY Apply

AWS AI Engineer / USC and GC Candidates can ONLY Apply

Data Scientist - Machine Learning

GENAI / MACHINE LEARNING AI / DATA Scientist

AI Engineer

Software Engineer, Generative Media AI, Apparel ML

AI & Machine Learning Engineer

Software Engineer, AI/ML GenAI, Geo

Full Stack Engineer (AML), AI & Data Platforms (AiDP)

Machine Learning Engineer, AI Safety & Security – Supporting NVIDIA – Santa Clara (Hybrid)

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