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Remote Ai Data Engineer Jobs in Modesto, CA (NOW HIRING)

Hubs.is

AI Solutions Architect

Modesto, CA · Remote

$64.50 - $85/hr

You'll also work directly with our product and engineering teams, represent the customer's point of ... Build the connections, data transformations, and working solutions that solve real business ...

Hubs.is

AI Solutions Architect

Stockton, CA · Remote

$64.50 - $85/hr

You'll also work directly with our product and engineering teams, represent the customer's point of ... Build the connections, data transformations, and working solutions that solve real business ...

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All JobsAi Data Engineer JobsRemote Ai Data Engineer JobsRemote Ai Data Engineer Jobs in Modesto, CA

Remote Ai Data Engineer information

See Modesto, CA salary details

$46.9K

$136.9K

$187.3K

How much do remote ai data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote ai data engineer in Modesto, CA is $136,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,800.00 and $145,100.00 per year, depending on experience, location, and employer.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are popular job titles related to Remote Ai Data Engineer jobs in Modesto, CA?

For Remote Ai Data Engineer jobs in Modesto, CA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Modesto, CA look for?

The top searched job categories for Remote Ai Data Engineer jobs in Modesto, CA are:

What cities near Modesto, CA are hiring for Remote Ai Data Engineer jobs?

Cities near Modesto, CA with the most Remote Ai Data Engineer job openings:

Remote Ai Data Engineer jobs near you

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Ripon, CA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

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