ZipRecruiter

Log In

2

Remote Ai Data Engineer Jobs in Springfield, MA (NOW HIRING)

Deloitte

GCP Manager

Hartford, CT · On-site +1

... and data platforms and apply engineering to mission-critical operations. Our AI & Data practice ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Knak Digital

AI Engineer

Becket, MA · Remote

$130K - $150K/yr

AI Engineer Location: Remote (US only) Compensation: $130,000 to $150,000 A small, technical ... MCP servers and clients that securely connect models to client data, internal tools, and APIs * RAG ...

next page

Showing results 1-20

People also search for

All JobsRemote Ai Data Engineer JobsRemote Ai Data Engineer Jobs in Springfield, MA

Remote Ai Data Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

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

As of May 29, 2026, the average yearly pay for remote ai data engineer in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Data Engineer, and why are they important?

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 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 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 Springfield, MA? For Remote Ai Data Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Springfield, MA look for? The top searched job categories for Remote Ai Data Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Ai Data Engineer jobs? Cities near Springfield, MA with the most Remote Ai Data Engineer job openings:
Remote Ai Data Engineer jobs near you
Infographic showing various Remote Ai Data Engineer job openings in Springfield, MA as of May 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,263 per year, or $62.1 per hour.
Remote AI Training Engineer Flexible Schedule & Impact

Remote AI Training Engineer Flexible Schedule & Impact

DataAnnotation

Hartford, CT • Remote

Full-time

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

Job description

A leading AI development company is seeking proficient programmers to join their remote team. In this role, you will work on challenging coding problems, specifically in Android development, while contributing to the advancement of AI technologies. Candidates should have fluency in English and experience in languages such as Kotlin, JavaScript, or Python.

The position offers competitive hourly pay, flexible project selection, and impactful work in shaping the future of AI. #J-18808-Ljbffr

Apply