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Freelance Ai Data Engineer Jobs (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and ...

GARGI TECHNOLOGIES INC

AI Data Engineer

Denver, CO

$117K - $141K/yr

AI Data Engineer: Location: Denver, CO Experience: 2-5 Years Job Summary We are seeking an AI Data Engineer to build and optimize data pipelines that power Generative AI, Large Language Models (LLMs ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

SAIC

AI Data Engineer

Fort Belvoir, VA · Remote

$129K - $155K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

Apple

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time.. The AI Data Engineer builds ...

Apple

AI Data Engineer

Cupertino, CA

$203K - $305K/yr

The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time. Description The AI Data ...

Schonfeld

AI Data Engineer

New York, NY

$125K - $150K/yr

About the Role Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and ...

Schonfeld

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and ...

Terumo BCT, Inc.

AI Data Engineer

Lakewood, CO · On-site

$115K - $138K/yr

AI Data Engineer JOB SUMMARY Working under general direction, designs, builds, and owns the data that powers AI-driven agents and decision systems in production enterprise environments. This role is ...

Terumo BCT, Inc.

AI Data Engineer

Lakewood, CO · On-site

$115K - $138K/yr

AI Data Engineer JOB SUMMARY Working under general direction, designs, builds, and owns the data that powers AIdriven agents and decision systems in production enterprise environments. This role is ...

Instant Serve LLC

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key Responsibilities Data Engineering: Design, develop, and manage data pipelines to handle and process large ...

Duke University

AI Data Engineer

Durham, NC · On-site

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and ...

Duke University

AI Data Engineer

Durham, NC · Hybrid

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and ...

Atonom

AI Data Engineer

Provo, UT · On-site

Salary: $50,000 to $90,000 AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

AI Data Engineer

Provo, UT

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

T Rowe Price

AI Data Engineer

Owings Mills, MD · Hybrid

$109K - $131K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of scalable AI and data solutions that enable next generation data foundations and capabilities leveraging ...

Inficare Technologies

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

AI Data Engineer Location : New York (its day 1 onsite) Long Term Description We are seeking a highly skilled and innovative Data & AI Engineer to design, build, and deploy scalable data solutions ...

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All JobsFreelance Ai Data Engineer Jobs

Freelance Ai Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 12, 2026, the average yearly pay for freelance ai data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Freelance AI Data Engineer, you need expertise in data engineering, programming (such as Python or Scala), and a solid understanding of machine learning algorithms, typically supported by a relevant degree in computer science or engineering. Proficiency with big data frameworks (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and tools for data pipeline orchestration (e.g., Airflow) is highly valued, along with certifications in these areas. Strong problem-solving, communication, and self-management skills help a freelancer excel when collaborating with clients and managing diverse projects. These skills ensure you can efficiently deliver high-quality, scalable AI data solutions in a competitive, project-based environment.

What are some common challenges freelance AI data engineers face when working with multiple clients?

Freelance AI data engineers often manage projects for several clients simultaneously, which can create challenges in balancing differing data architectures, security protocols, and project deadlines. Each client may use unique technology stacks and have distinct expectations for data preprocessing, model deployment, and reporting. Effective time management, clear communication, and adaptability are crucial to ensure successful delivery and maintain strong client relationships in this dynamic work environment.

What are Freelance AI Data Engineers?

Freelance AI Data Engineers are independent professionals who design, build, and maintain data systems and pipelines for artificial intelligence and machine learning applications. They work with clients on a project basis, helping collect, process, and organize large datasets, and ensuring data is accessible for model training and analytics. Their expertise includes programming, data architecture, cloud platforms, and AI frameworks. Freelancers in this role often collaborate with data scientists and software engineers to deploy scalable AI solutions.

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

AspectFreelance Ai Data EngineerFreelance Data Scientist
CredentialsKnowledge of AI frameworks, data engineering certificationsStatistical, analytical, and programming skills, data analysis certifications
Work EnvironmentBuilding data pipelines, integrating AI models, cloud platformsAnalyzing data, creating predictive models, data visualization
Employer & Industry UsageTech companies, AI startups, data-driven organizationsResearch firms, analytics consultancies, tech companies

While both roles involve working with data, Freelance Ai Data Engineers focus on building and maintaining data infrastructure for AI applications, whereas Freelance Data Scientists analyze data to generate insights and develop models. The roles often overlap but serve different primary functions in data projects.

What cities are hiring for Freelance Ai Data Engineer jobs? Cities with the most Freelance Ai Data Engineer job openings:
What are the most commonly searched types of Ai Data Engineer jobs? The most popular types of Ai Data Engineer jobs are:
What states have the most Freelance Ai Data Engineer jobs? States with the most job openings for Freelance Ai Data Engineer jobs include:
Freelance Ai Data Engineer jobs near you
AI Data Engineer

AI Data Engineer

IntraEdge

Detroit, MI

$113K - $136K/yr

Full-time

Posted 2 days ago

Job description

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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