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Freelance Artificial Intelligence Engineer Jobs (NOW HIRING)

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

Stefanini

Artificial Intelligence Engineer

Dearborn, MI · Remote

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for a candidate who is responsible for developing ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be ...

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How much do freelance artificial intelligence engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for freelance artificial intelligence engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are freelance artificial intelligence engineers?

Freelance artificial intelligence (AI) engineers are independent professionals who design, develop, and implement AI solutions for clients on a project or contract basis rather than as full-time employees. They typically work with machine learning, deep learning, natural language processing, and related technologies to solve specific business problems. Freelance AI engineers may collaborate with companies across various industries, offering expertise in building predictive models, automating processes, and analyzing large datasets. Their flexible work arrangements allow businesses to access specialized AI skills without long-term commitments. They often manage their own schedules, client relationships, and project deliverables.

How much does a freelance AI engineer make?

Freelance AI engineers typically earn between $50 and $150 per hour, depending on experience, project complexity, and client budget. Annual income can vary widely, often ranging from $60,000 to over $150,000 for experienced professionals working on specialized projects or with high-demand skills like machine learning and deep learning. Rates may also be influenced by geographic location and the engineer's reputation.

Can an AI engineer do freelancing?

Yes, an AI engineer can work as a freelancer, offering services such as developing machine learning models, data analysis, and AI solutions. Freelance AI engineers typically need strong technical skills, familiarity with tools like Python and TensorFlow, and a portfolio to attract clients. Freelancing provides flexibility but requires self-management and ongoing skill development.

Which 3 jobs will survive AI?

For a Freelance Artificial Intelligence Engineer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI ethics consulting, strategic AI development, and interdisciplinary research. These jobs often involve understanding nuanced human needs and adapting AI solutions accordingly, making them less susceptible to automation. Continuous learning and expertise in specialized tools like machine learning frameworks enhance job security in this field.

How do Freelance Artificial Intelligence Engineers typically collaborate with clients and other team members on projects?

Freelance Artificial Intelligence Engineers often work remotely and collaborate with clients and multidisciplinary teams using digital communication tools like Slack, Zoom, and project management platforms. They usually participate in regular virtual meetings to discuss project requirements, share progress updates, and troubleshoot challenges. Effective communication and clear documentation are key, as freelancers must ensure alignment on project goals and deliverables while managing their own schedules. Additionally, they may collaborate with data scientists, software developers, and product managers to integrate AI models into broader applications.

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

To thrive as a Freelance Artificial Intelligence Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and demonstrated project experience. Proficiency in programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, along with certifications like TensorFlow Developer or AWS Machine Learning if possible. Excellent problem-solving, communication, and self-management skills help you deliver projects independently and collaborate effectively with clients. These skills and qualities are crucial for building robust AI solutions, meeting client expectations, and succeeding in a dynamic freelance environment.

What is the difference between Freelance Artificial Intelligence Engineer vs Data Scientist?

AspectFreelance Artificial Intelligence EngineerData Scientist
CredentialsTypically requires degrees in computer science, AI, or related fields; certifications in AI/ML are commonRequires degrees in statistics, data analysis, or related fields; certifications in data analysis or ML are common
Work EnvironmentFreelance projects, remote or on-site, working with clients across industriesUsually employed full-time in organizations or consulting firms, working with large datasets
Employer & Industry UsageUsed by startups, tech companies, and consulting clients for AI solutionsEmployed in finance, healthcare, tech, and research sectors for data analysis and insights

While both roles involve working with data and machine learning, Freelance Artificial Intelligence Engineers focus on developing AI solutions for clients on a project basis, often requiring self-management and diverse project scopes. Data Scientists analyze data to extract insights, typically within organizations. The roles overlap in skills but differ mainly in work setting and project structure.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, research director, or chief AI officer, often in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and leadership responsibilities.
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Freelance Artificial Intelligence Engineer jobs near you
Infographic showing various Freelance Artificial Intelligence Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Artificial Intelligence Engineer

Prophecy Technologies

West Des Moines, IA • On-site

Full-time

Posted 6 days ago

Job description

Role Name: Artificial Intelligence Engineer
Location: West Des Moines-Iowa
Job Summary
We are seeking an experienced Artificial Intelligence Engineer to design, develop, and scale modern AI solutions leveraging GenAI, LLMs, and Agentic AI. The ideal candidate will work across data, engineering, and business teams to deliver intelligent applications, RAG pipelines, AI agents, and document automation workflows using AWS-native AI services.
Experience Range (Required Skills)
  • 5+ years in software engineering or data science.
  • 1+ year hands-on experience with GenAI, LLMs, or Agentic AI.
  • Proficiency in Python, REST APIs, and JavaScript/TypeScript frameworks (React, Node.js).
  • Experience working with cloud-native infrastructure: Docker, CI/CD pipelines.
  • Hands-on experience with AWS AI/ML services, including:
  • Bedrock
  • SageMaker
  • Textract
  • Translate
  • Lambda & other serverless components

Key Responsibilities
  • Design, build, and scale RAG pipelines, vector search architectures, and LLM evaluation workflows.
  • Develop intelligent AI agents using LangChain, AutoGen, LlamaIndex, or LangGraph.
  • Ingest, process, and prepare structured/unstructured data-chunking, embeddings, parsing, retrieval.
  • Create intuitive front-end experiences powered by LLM and agent-based intelligence.
  • Integrate enterprise AI tools such as:
  • Claude
  • GPT-4/4o / ChatGPT Enterprise
  • Copilot
  • Glean
  • Shelf
  • Drive advanced document automation, including summarization, translation, and named-entity recognition (NER).
  • Implement observability, governance, and responsible AI practices in compliance with enterprise regulations.
  • Partner with cross-functional teams (IT, data, risk, compliance, business) to deliver user-facing AI solutions.

Required Skills & Experience
  • Hands-on experience developing AI solutions using GenAI/LLM frameworks.
  • Strong expertise in Python and API development (REST).
  • Experience with modern frontend concepts (React, Node.js).
  • Knowledge of embeddings, vector stores, retrieval workflows, and LLM orchestration.
  • Experience with AWS AI services and cloud-native development patterns.

Competencies
  • Strong problem-solving and analytical thinking.
  • Excellent communication and collaboration across technical & business stakeholders.
  • Ability to work in fast-paced, innovation-driven environments.
  • Self-starter with strong ownership of solution delivery.

Preferred Skills
  • Experience with LangChain, AutoGen, LlamaIndex, or LangGraph.
  • Prior exposure to enterprise AI platforms such as Glean or Shelf.
  • Understanding of responsible AI, security, governance, and observability frameworks.
  • Experience building UI/UX for AI-driven applications.

Apply