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How much do freelance artificial intelligence machine learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freelance artificial intelligence machine learning 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 is a freelance artificial intelligence machine learning professional?

Freelance Artificial Intelligence (AI) Machine Learning (ML) professionals are independent experts who develop, implement, and optimize AI and ML models for various clients and projects. They often work remotely or on a contract basis, assisting organizations with tasks such as data analysis, algorithm development, model training, and deployment. Freelance AI/ML specialists typically possess skills in programming languages like Python or R, and are familiar with frameworks such as TensorFlow or PyTorch. Their work ranges from building predictive models and automating processes to consulting on AI strategy and integrating machine learning into business solutions.

What are the key skills and qualifications needed to thrive as a freelance artificial intelligence machine learning specialist?

To thrive as a Freelance Artificial Intelligence/Machine Learning Specialist, you need a strong background in mathematics, statistics, programming (Python or R), and a solid understanding of machine learning algorithms, usually backed by a relevant degree or certifications. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Google Cloud is typically required. Strong problem-solving abilities, self-motivation, and effective client communication are crucial soft skills for success in freelance work. These skills ensure you can deliver high-quality, innovative solutions independently and maintain strong client relationships in a rapidly evolving field.

How do freelance AI/ML professionals typically manage client expectations and project scope?

Freelance AI/ML professionals often work with clients who may not fully understand the technical possibilities or limitations of machine learning solutions. A key challenge is clearly communicating what can be achieved within a given timeframe and budget, and then setting realistic milestones. This often involves regular check-ins, well-documented progress updates, and educating clients about the iterative nature of AI/ML development. Building trust and transparency is essential, as is being flexible to adapt project goals based on data availability or evolving client needs.

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

AspectFreelance Artificial Intelligence Machine LearningData Scientist
CredentialsTypically requires knowledge of AI/ML, programming, and relevant certificationsRequires degrees in data science, statistics, or related fields, often with certifications
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed full-time in organizations, but also freelance options exist
Industry UsageUsed across tech, finance, healthcare, and startups for AI/ML projectsCommon in tech, finance, healthcare, and research sectors for data analysis

Freelance Artificial Intelligence Machine Learning professionals focus on developing AI/ML models independently, often on specific projects, while Data Scientists analyze data to extract insights, typically within organizations. Both roles require strong technical skills, but their work environments and project scopes differ.

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Freelance Artificial Intelligence Machine Learning jobs near you
Infographic showing various Freelance Artificial Intelligence Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Research Computer Scientist - Artificial Intelligence Machine Learning

Analytical Mechanics Associates

Hampton, VA • On-site

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

Job description

Job Description:
In support of NASA Langley Research Center's Aeronautics Systems Engineering Branch, AMA is seeking highly skilled candidates in the field of Artificial Intelligence / Machine Learning. Specifically, AMA is seeking candidates to support work within the uncrewed aircraft systems domain developing machine learning algorithms and tools based on the use of vision and/or radar sensors for airspace surveillance, onboard sense and avoid, and perception of hazards for autonomous navigation. The selected candidate will work with NASA and regulatory authorities on the overall advancement of machine learning with the aviation industry and increase NASA's presence in the field. This position will be located on site at NASA LaRC.
Responsibilities:
  • Develop algorithms to detect, track, and classify uncrewed aircraft systems (multirotor, fixed wing, or VTOL), birds, general aviation vehicles, and commercial aviation vehicles
  • Integrate ground-based surveillance systems with airborne sensing suites by sharing data on an IoT platform
  • Conduct literature reviews to understand state of the art for machine learning, identifying gaps for aviation
  • Leverage previously collected NASA data along with future NASA and external data to evaluate machine learning techniques
  • Develop sensor fusion techniques for multiple sensor types using machine learning and traditional fusing techniques
  • Evaluate machine learning methodology using traditional machine learning metrics along with proposed aviation metrics by the Radio Technical Commission for Aeronautics (RTCA).
  • Assist in the design and execution of experiments at NASA Langley Research Center and Armstrong Flight Research Center
  • Assist in the development of machine learning challenges such as those for the Computer Vision Pattern Recognition Conference
  • Document research results for conference presentation and publication

Qualifications
  • MS or PhD in Computer Science or related computational field with concentrations in artificial intelligence and machine learning
  • Demonstrated experience in machine learning through published research papers
  • Expertise in machine learning, computer vision, sensor-based data acquisition
  • Application of machine learning with the aviation domain highly desired
  • Understanding of uncrewed aircraft systems operations highly desired
  • Must work well in highly collaborative dynamic environments with diverse team
  • Strong communications skills, written and verbal

Salary range: $100k-$150k
US citizenship or Permanent Residency is required
Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

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