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Remote Ai Data Engineer Jobs in Raleigh, NC (NOW HIRING)

AI Engineer

Raleigh, NC · Remote

$130K - $160K/yr

AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The ... Support data accessibility initiatives tied to the client's internal data warehouse and ETL ...

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Design and deploy intelligent retrieval architecture and AI-driven workflows using vector-based ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... science, Engineering, Data Science, or equivalent experience. Our Mission is to enable our ...

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

You will partner with teams across Avalara to embed intelligent workflows, AI agents, and data ... This is a full-time role with Avalara, offering a fully remote work arrangement. What Your ...

Senior Software Engineer

Raleigh, NC

$119K - $157K/yr

Analysis - Collects data related to user requests and determines scope, time estimates, and system impacts. Inspects business specifications, programming specifications, coding, test plans ...

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

You will partner with teams across Avalara to embed intelligent workflows, AI agents, and data ... This is a full-time role with Avalara, offering a fully remote work arrangement. What Your ...

Senior Systems Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

... Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus ... engineering, experimentation, model training/deployment, RAG pipeline development, prompt ...

Showing results 21-40

Remote Ai Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Aug 23, 2026, the average yearly pay for remote ai data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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 the most commonly searched types of Ai Data Engineer jobs in Raleigh, NC?

The most popular types of Ai Data Engineer jobs in Raleigh, NC are:

What are popular job titles related to Remote Ai Data Engineer jobs in Raleigh, NC?

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

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

The top searched job categories for Remote Ai Data Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Ai Data Engineer jobs?

Cities near Raleigh, NC with the most Remote Ai Data Engineer job openings:

Infographic showing various Remote Ai Data Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 62% Full Time, 26% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

AI Engineer

Mondo

Raleigh, NC • Remote

$130K - $160K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Apply now: AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The start date is end of July / early August for this permanent salaried position with a one-year end date.

Job Title: AI Engineer Location-Type: Remote, Raleigh, NC area; onsite collaboration as needed Start Date Is: End of July / Early August Duration: Contract - salaried role with benefits and PTO; one-year end date (likely to extend/convert) Compensation Range: $130,000 – $160,000 base salary 10% annual performance-based bonus Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: The client is seeking a collaborative AI-focused software engineer to help evaluate AI use cases, build prototypes, expand data accessibility, and support backend engineering initiatives across the business.

Day-to-Day Responsibilities:

  • Partner with business stakeholders to evaluate and prioritize AI use cases
  • Build prototypes, proofs of concept, and AI-enabled solutions
  • Develop backend services, APIs, and integrations using Elixir
  • Work with SQL databases and enterprise data systems
  • Support data accessibility initiatives tied to the client's internal data warehouse and ETL platform
  • Assist with MCP server and AI-driven data access initiatives
  • Use AI coding tools such as Claude Code or Codex while reviewing and validating generated code
  • Collaborate cross-functionally with product, engineering, and business teams

Minimum Requirements:

  • 3–6 years of software engineering experience
  • Current, extensive Elixir experience
  • Strong SQL database experience
  • Experience building API backends
  • Comfort using or learning AI-assisted coding tools such as Claude Code or Codex
  • Strong communication and collaboration skills
  • Comfortable working directly with business stakeholders
  • Based in the Raleigh, NC area, ideally within roughly 50 miles
  • Excited by experimentation, ambiguity, and rapid iteration
Preferred Qualifications:
  • Experience with MCP servers
  • Experience with Ash framework
  • Experience building data platforms, ETL pipelines, or warehouse solutions
  • Startup or small-team engineering background
  • Experience supporting enterprise AI initiatives
  • Experience translating business requirements into technical prototypes