Top 750 Ai ml engineer Jobs in Mountain View Ca

Industrial Engineer - AI Trainer
DataAnnotation —San Jose, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Analytics Engineer - AI Trainer
DataAnnotation —Menlo Park, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Analytics Engineer - AI Trainer
DataAnnotation —Santa Clara, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Principal AI/ML Engineer, Security AI
Cisco Systems, Inc. —San Jose, CA
- $211,600 - $314,200 a year
- Full-time
- Azure
- 5 years
- Java
- Employee stock purchase plan
- Paid holidays
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AI Engineer
Risa Labs —Palo Alto, CA
- Computer science
- Computer Science
- System design
Machine Learning Engineer
Sajix Software Solution Private Limited —Pleasanton, CA
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
Software AI Engineer
Jade Global —San Jose, CA
- Full-time
- Remote
- Azure
- AWS
- Senior level
Applied AI Engineer, Physical AI platform
Dexmate —Fremont, CA
- $120,000 - $300,000 a year
- Full-time
- System design
- Mid-level
- 3 years
AI Engineer
OPPO US Research Center —Palo Alto, CA
- $100,000 - $200,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
Quick Apply
Machine Learning Engineer - AI Trainer
DataAnnotation —California
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
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Distinguished AI Engineer (Hybrid)
Cisco Systems —San Jose, CA
- $304,900 - $498,400 a year
- Full-time
- Hybrid work
- Office
- Master's degree
- Bachelor's degree
- Paid parental leave
- Paid holidays
AI Engineer
Avathon —Pleasanton, CA
- $110,000 - $130,000 a year
- Temporary
- Azure
- Computer Science
- System design
- Health insurance
- Parental leave
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AI/ML Engineer
Quest Global —Sunnyvale, CA
- $105,000 - $115,000 a year
- Full-time
- AWS
- Senior level
- Python
- Disability insurance
- Health insurance
Quick Apply
Data Scientist
Quantifind —Palo Alto, CA
- $140,000 - $170,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
AI Engineer
UST —Santa Clara, CA
- $94,000 - $141,000 a year
- Azure
- Mid-level
- 3 years
- Paid jury duty
- Health savings account
Quick Apply
AI Applications Engineer
Advanced Micro Devices, Inc —San Jose, CA
- Hybrid work
- Computer Science
- Mid-level
- Product management
4d
ML Platform Engineer
Guidewire Software —San Mateo, CA
- $124,000 - $210,000 a year
- Email
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Software Engineer - AI/ML
Super Micro Computer —San Jose, CA
- $90,000 - $120,000 a year
- Computer Science
- Mid-level
- Office
11d
AI Engineer
Teserac, Inc. —Santa Clara, CA
- Full-time
- Hybrid work
- Computer Science
- System design
- Analysis skills
- Health insurance
- Dental insurance
Quick Apply
AI Residency
1X —San Carlos, CA
- $10,000 a month
- Full-time
- Computer Science
- Research
- Mid-level
- Paid holidays
- Dental insurance
Quick Apply

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ai ml engineer jobs near mountain view 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.

Quick Apply

Refine Your Search

ai ml engineer jobs in mountain view ca

Industrial Engineer - AI Trainer

Analytics Engineer - AI Trainer

Analytics Engineer - AI Trainer

Principal AI/ML Engineer, Security AI

AI Engineer

Machine Learning Engineer

Software AI Engineer

Applied AI Engineer, Physical AI platform

AI Engineer

Machine Learning Engineer - AI Trainer

Distinguished AI Engineer (Hybrid)

AI Engineer

AI/ML Engineer

Data Scientist

AI Engineer

AI Applications Engineer

ML Platform Engineer

Software Engineer - AI/ML

AI Engineer

AI Residency

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