Top 90 Ai/ml engineer Jobs in Elk Grove, Ca

Machine Learning Engineer - AI Trainer
DataAnnotation —California
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
4d
REMOTE Senior AI/ML Engineer (CDT/EDT)
Everforth, Cybercoders —California
- $180,000 - $230,000 a year
- Full-time
- Remote
- Azure
- AWS
- Analysis skills
- Health insurance
- Dental insurance
Quick Apply
4d
Lead AI / ML Engineer
Accenture —Sacramento, CA
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
- Paid holidays
- Disability insurance
12d
Forward Deployed Engineer, Microsoft AI & Data
Deloitte —Sacramento, CA
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Agentic AI Engineer — Healthcare AI
Deloitte —Sacramento, CA
- $110,700 - $372,900 a year
- Full-time
- Computer Science
- Up to 50% travel
- System design
Databricks Senior Consultant
Deloitte —Sacramento, CA
- $124,700 - $207,800 a year
- Full-time
- Azure
- Computer Science
- AWS
Applied AI Engineer, Founding Team
Accenture —Sacramento, CA
- $68,300 - $218,800 a year
- Full-time
- Oracle
- Research
- Machine learning
- Paid holidays
- Disability insurance
FinOps AI / ML Engineer Manager
Accenture —Sacramento, CA
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Paid holidays
- Disability insurance
7d
AI Engineer
GEI Consultants —Rancho Cordova, CA
- $110,000 - $150,000 a year
- Full-time
- Mid-level
- 4 years
- Profit sharing
- Commuter assistance
Quick Apply
FinOps AI / ML Engineer Assoc Director
Accenture —Sacramento, CA
- $150,900 - $413,600 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Sales
- Paid holidays
- Disability insurance
7d
Snowflake Advanced AI Engineer,
Accenture —Sacramento, CA
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
7d
Senior DevOps Engineer, Infrastructure Services
Apple —Sacramento, CA
- $175,500 - $311,700 a year
- Azure
- System design
- AWS
- Employee stock purchase plan
- Health insurance
AI Engineer Consultant
Deloitte —Sacramento, CA
- $91,100 - $179,500 a year
- Full-time
- Azure
- Oracle
- Computer Science
Data Scientist II
Scribd, Inc. —Sacramento, CA
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
Full Stack Agentic AI Engineer
Accenture —Sacramento, CA
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Software troubleshooting
- Paid holidays
- Disability insurance
5d
Google Data Specialist
Accenture —Sacramento, CA
- $59,100 - $196,000 a year
- Full-time
- Hybrid work
- SQL
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
Google AI Architect
Deloitte —Sacramento, CA
- $122,000 - $240,500 a year
- Full-time
- Azure
- 6 years
- Computer Science
10d
Senior Staff Engineer - AI Data Path
DDN —Sacramento, CA
- Full-time
- Hybrid work
- Computer Science
- System design
- 11+ years
Quick Apply
AI Project Manager Delivery Lead
Sabot Consulting —Sacramento, CA
- $175,000 - $230,000 a year
- Full-time
- 7 years
- Azure
- Office
Quick Apply
Forward Deployed Engineer- Palantir
Deloitte —Sacramento, CA
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel

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ai/ml engineer jobs near elk grove, ca

Machine Learning Engineer - AI Trainer

DataAnnotation -
California

Quick Apply

Job Details

Part-time | Full-time | Contract
$50 - $100 an hour
4 days ago

Benefits

Flexible schedule

Qualifications

Quantitative applied research
Predictive modeling analysis
Software coding
Writing skills
Design of experiments
English
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 Machine Learning 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.

Quick Apply

Refine Your Search

ai/ml engineer jobs in elk grove, ca

Machine Learning Engineer - AI Trainer

REMOTE Senior AI/ML Engineer (CDT/EDT)

Lead AI / ML Engineer

Forward Deployed Engineer, Microsoft AI & Data

Agentic AI Engineer — Healthcare AI

Databricks Senior Consultant

Applied AI Engineer, Founding Team

FinOps AI / ML Engineer Manager

AI Engineer

FinOps AI / ML Engineer Assoc Director

Snowflake Advanced AI Engineer,

Senior DevOps Engineer, Infrastructure Services

AI Engineer Consultant

Data Scientist II

Full Stack Agentic AI Engineer

Google Data Specialist

Google AI Architect

Senior Staff Engineer - AI Data Path

AI Project Manager Delivery Lead

Forward Deployed Engineer- Palantir

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