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Freelance Generative Ai Engineer Jobs (NOW HIRING)

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

AI Engineer - Generative AI Location: Canada or Mexico (Remote) Job Type: Contract Experience: 5-10 years software development; 2-4 years hands-on Generative AI Shift: 1:00 PM - 9:00 PM PST Job ...

New

NY ยท On-site

$140 - $210/hr

Charlotte, United States | Posted on 07/15/2026 Dallas, TX or Charlotte, NC or Raleigh, NC Role Overview We are seeking a highly skilled Generative AI Engineer with a strong Python background to ...

Generative AI Engineer

Dallas, TX ยท On-site

$100 - $130/hr

Become an Azure AI Engineer and: Collaborate with clients to design and build impactful AI solutions on Microsoft Azure. Work on various project phases, from ideation to deployment, across generative ...

Generative AI Engineer

Schaumburg, IL ยท On-site

$95K - $131K/yr

We are seeking a highly motivated and adaptable AI Engineer to join an innovative team. The ideal candidate will possess a strong background in both Generative AI and traditional Machine Learning ...

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

Generative AI Engineer

Charlotte, NC ยท On-site

$140 - $190/hr

Charlotte, United States | Posted on 07/15/2026 Dallas, TX or Charlotte, NC or Raleigh, NC Role Overview We are seeking a highly skilled Generative AI Engineer with a strong Python background to ...

Generative AI Engineer

Sunnyvale, CA ยท On-site

$100 - $150/hr

Generative AI Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

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How much do freelance generative ai engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for freelance generative ai 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 the most common challenges faced by freelance generative AI engineers when working with clients on custom AI solutions?

Freelance Generative AI Engineers often encounter challenges such as managing client expectations regarding project timelines and the complexity of AI models, especially when clients have limited technical knowledge. Ensuring clear communication about data requirements, model capabilities, and ethical considerations is crucial for successful project delivery. Additionally, freelancers must stay up to date with rapidly evolving AI frameworks and tools while balancing multiple projects and deadlines. Building robust documentation and maintaining transparency throughout the development process can help mitigate misunderstandings and foster long-term client relationships.

What is a freelance generative AI engineer?

A Freelance Generative AI Engineer is a professional who works independently to design, build, and deploy artificial intelligence models that can generate new data, such as text, images, or music. These engineers typically specialize in technologies like generative adversarial networks (GANs), large language models (LLMs), and other machine learning frameworks. They collaborate with clients or companies on a project-by-project basis, offering expertise in AI model development, fine-tuning, and integration. Being freelance, they have the flexibility to work with multiple clients across various industries, including tech, media, and entertainment.

Can a freelance generative AI engineer do freelancing?

A freelance generative AI engineer can work independently on projects for clients, often setting their own schedules and rates. Success in freelancing typically requires strong skills in AI, machine learning, and relevant tools like Python and TensorFlow, as well as a portfolio demonstrating expertise. Many freelance AI engineers find opportunities through online platforms and networking.

How much do freelance generative AI engineers make?

Freelance generative AI engineers typically earn between $50 and $150 per hour, depending on experience, project complexity, and client budget. Experienced professionals with specialized skills in machine learning frameworks and large language models can command higher rates, especially for complex or high-demand projects.

What are the key skills and qualifications needed to thrive as a freelance generative AI engineer?

To thrive as a Freelance Generative AI Engineer, you need a deep understanding of machine learning, neural networks, and programming languages such as Python, often supported by a degree in computer science or related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and experience with AI model deployment are typically required. Strong problem-solving abilities, adaptability, and effective communication help you collaborate with clients and address evolving project needs. These skills are crucial for developing innovative AI solutions, meeting client expectations, and staying competitive in a rapidly changing field.
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Infographic showing various Freelance Generative Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Generative AI Engineer

PB consulting

Dalworthington Gardens, TX โ€ข On-site

Full-time

Posted 13 days ago


Job description

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks.

Roles and Responsibilities
  • Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements.

  • Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions.

  • Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity.

  • Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

  • Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques.

  • Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics.

  • Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development.

  • Develop scalable AI solutions that integrate with enterprise applications and cloud platforms.

  • Participate in model testing, deployment, monitoring, and continuous improvement.

  • Contribute to AI best practices, technical documentation, and knowledge sharing across teams.

Required Skills
  • Strong proficiency in Python with major machine learning and deep learning libraries.

  • Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models.

  • Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning.

  • Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs).

  • Experience with data preprocessing, feature engineering, SQL, and data manipulation.

  • Familiarity with AI model evaluation, optimization, and hyperparameter tuning.

  • Strong analytical, problem-solving, and communication skills.

Preferred Skills
  • Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).

  • Experience developing AI applications in both on-premises and cloud environments.

  • Knowledge of CI/CD pipelines and AI application deployment practices.

  • Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

  • Experience designing, developing, and deploying enterprise AI or Generative AI solutions.

  • Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment.