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Freelance Artificial Intelligence Engineer Jobs (NOW HIRING)

Thales

Artificial Intelligence Space Engineer

Roma, TX · On-site

$89K - $107K/yr

They are seeking an Artificial Intelligence Engineer to design and develop AI components, work on machine learning and symbolic AI, and ensure data knowledge and traceability. Responsibilities : • ...

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

Covetus

Artificial Intelligence Engineer

Edison, NJ · Hybrid

Title: Gen AI Engineer Location: Irving, TX / Tampa, FL / Edison, NJ Only USC, GC and OPT work for this role Must Have Technical/Functional Skills - Strong hands-on Python knowledge - Hands-on ...

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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

Artificial Intelligence Engineer

Harrison Clarke

San Mateo, CA

$250K - $400K/yr

Other

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

AI Engineer - Defense Robotics

Location: San Francisco (On-Site)

Compensation: $250,000 - $400,000 base + Equity


Most autonomy work never leaves the simulator. The model performs, the demo lands, and then it meets a real world environment and falls apart the first time the lighting is wrong or something moves that wasn't supposed to. This role is the opposite of that. The systems here run in the field, in real world environments, with people depending on the output.


An early-stage defense company is building the intelligence layer for fleets of robots: a foundation model that takes a natural-language command from a human operator and turns it into coordinated sensing, decision-making, and action across many machines at once.


The hard, unsolved part is the model that makes them act like they share one mind. That is the part you would own.


As an AI Engineer, you would architect across perception, reasoning, and control rather than picking up a slice someone else scoped. Day-to-day includes training and evaluating VLA models, building the architectures for multimodal fusion and continual learning, giving agents memory and tool use, and pushing all of it from research into real-time inference that runs onboard while the hardware is in motion. You would also be in the field for trials, watching your work hold or break under real constraints and fixing it on the spot.


They're coming off a colossal funding round but are still early enough that you will help set the culture and the process. The work is demanding and the pace is fast but the payoff is that what you build gets deployed instead of archived.


The fit: you have spent at least two years shipping AI models, ideally in robotics, agents, autonomous systems, or anything that has to work in real time. You are strong in computer vision, deep learning, or multimodal architectures such as VLMs and transformers. You understand distributed training, fine-tuning, and reinforcement learning, and you have personally carried something from prototype to product in a place that moved fast.


Non-negotiable: the role requires access to U.S. export controlled information, so you must be a U.S. Person.


On offer: meaningful equity, top-of-range salary package, fully covered medical, dental, and vision, strong PTO, relocation support where eligible, and a team pulled from the top of autonomy, AI, and national security. Backed by well-known defense and frontier investors.


If the work you most want to do is autonomy that ships to real systems and matters when it gets there, this is worth a conversation.

Apply