Top 725 Ai ml engineer Jobs in Santa Clara Ca

Industrial Engineer - AI Trainer
DataAnnotation —San Jose, CA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
AI/ML Developer - AI Trainer
DataAnnotation —Pleasanton, CA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
AI/ML Developer - AI Trainer
DataAnnotation —Milpitas, CA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
AI/ML Developer - AI Trainer
DataAnnotation —Newark, CA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
Data AI/ML Engineer
Quantum Technologies —Sunnyvale, CA
- $40 - $50 an hour
- Contract
- Background check
- SQL
- AWS
Quick Apply
Senior AI Engineer
Apogee Global RMS —San Jose, CA
- Contract
- Remote
- Azure
- 5 years
- Databases
Quick Apply
Data Scientist and AI Engineer
SKT Lab —Santa Clara, CA
- Email
- Computer Science
- 5 years
- SQL
Machine Learning Engineer
RADAR —Sunnyvale, CA
- $140,000 - $220,000 a year
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid parental leave
- Health insurance
Quick Apply
8d
AI Engineer - Multimodal Intelligence
Apple —Sunnyvale, CA
- $147,400 - $272,100 a year
- Computer science
- Computer Science
- 3 years
- Employee stock purchase plan
- Health insurance
4d
Software AI Engineer
Jade Global —San Jose, CA
- Full-time
- Remote
- Azure
- AWS
- Senior level
Machine Learning Engineer
UnitX —Milpitas, CA
- $160,000 - $180,000 a year
- Full-time
- Computer Science
- Basic math
- Mid-level
- Health insurance
- Dental insurance
Machine Learning Engineer
Advantest —San Jose, CA
- Computer Science
- Bachelor of Science
- DevOps
Builder - AI Engineer
Reevo —Santa Clara, CA
- $200,000 - $245,000 a year
- Full-time
- System design
- Databases
- Senior level
AI Software Engineer
Juji —San Jose, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
Software Engineer, AI/ML, Workspace
Google —Sunnyvale, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Machine Learning Engineer - Evaluation
HackerRank Careers —Santa Clara, CA
- $120,000 - $235,000 a year
- Full-time
- Hybrid work
- Mid-level
Machine Learning Engineer
Amiri Recruiting —Santa Clara, CA
- $140,000 - $220,000 a year
- Full-time
- Mid-level
- Office
- Software development
Quick Apply
AI/ML Engineer - Agentic
Hewlett Packard Enterprise —San Jose, CA
- $136,500 - $276,500 a year
- Full-time
- Computer science
- Computer Science
- System design
Android AI/ML Engineer
Vibotek LLC —Mountain View, CA
- Contract
- 5 years
- System design
- Master's degree
Quick Apply
Machine Learning Engineer
Apple —Cupertino, CA
- $181,100 - $272,100 a year
- Computer Science
- 5 years
- SQL
- Employee stock purchase plan
- Health insurance
10d

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ai ml engineer jobs near santa clara ca

Industrial Engineer - AI Trainer

DataAnnotation -
San Jose, CA

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Job Details

Part-time | Full-time | 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 Industrial Engineer - 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.

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Refine Your Search

ai ml engineer jobs in santa clara ca

Industrial Engineer - AI Trainer

AI/ML Developer - AI Trainer

AI/ML Developer - AI Trainer

AI/ML Developer - AI Trainer

Data AI/ML Engineer

Senior AI Engineer

Data Scientist and AI Engineer

Machine Learning Engineer

AI Engineer - Multimodal Intelligence

Software AI Engineer

Machine Learning Engineer

Machine Learning Engineer

Builder - AI Engineer

AI Software Engineer

Software Engineer, AI/ML, Workspace

Machine Learning Engineer - Evaluation

Machine Learning Engineer

AI/ML Engineer - Agentic

Android AI/ML Engineer

Machine Learning Engineer

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