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Remote Ai Data Engineer Jobs in Edison, NJ (NOW HIRING)

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Carlyle

Data & AI Engineer

New York, NY · On-site +1

$125K - $150K/yr

Department Description The Data & AI Engineer sits within Carlyle's Enterprise Technology & Data organization and supports firm-wide data and AI initiatives spanning investment platforms, portfolio ...

Mercor

Data Engineer - AI Coding Expert

New York, NY · Remote

$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Arizent

Data & AI Engineer

New York, NY · Remote

$100K - $125K/yr

Headquartered in the heart of New York City, we also welcome remote employees across the United ... We're looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses ...

Lakeview Loan Servicing

Data Engineer

Manhattan, NY · Remote

$140K - $190K/yr

... AI systems by ensuring that data is trustworthy, accessible, and fit for purpose ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

... and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust ... Remote Fridays * Happy Hours and other local events Compensation Range: $140K - $180K

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

... and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust ... Remote Fridays * Happy Hours and other local events Compensation Range: $140K - $180K

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All JobsAi Data Engineer JobsRemote Ai Data Engineer JobsRemote Ai Data Engineer Jobs in Edison, NJ

Remote Ai Data Engineer information

See Edison, NJ salary details

$46.1K

$134.3K

$183.8K

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

As of Aug 5, 2026, the average yearly pay for remote ai data engineer in Edison, NJ is $134,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $142,300.00 per year, depending on experience, location, and employer.

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 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 the most commonly searched types of Ai Data Engineer jobs in Edison, NJ? The most popular types of Ai Data Engineer jobs in Edison, NJ are:
What job categories do people searching Remote Ai Data Engineer jobs in Edison, NJ look for? The top searched job categories for Remote Ai Data Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Remote Ai Data Engineer jobs? Cities near Edison, NJ with the most Remote Ai Data Engineer job openings:
Remote Ai Data Engineer jobs near you

AI Data Engineer

C the Signs

New York, NY • On-site, Remote

$125K - $150K/yr

Other

Re-posted 9 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply