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$97K

$153.1K

$250K

How much do commission remote artificial intelligence jobs pay per year?

As of Jun 11, 2026, the average yearly pay for commission remote artificial intelligence in the United States is $153,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Commission Remote Artificial Intelligence Specialist, and why are they important?

To thrive as a Commission Remote Artificial Intelligence Specialist, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or certifications. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and version control systems like Git is typically required. Strong problem-solving skills, self-motivation, and effective remote communication set top performers apart in this role. These skills ensure successful development, deployment, and iteration of AI solutions while effectively collaborating with distributed teams and clients.

What are Commission Remote Artificial Intelligence jobs?

Commission Remote Artificial Intelligence jobs are roles where individuals work remotely, leveraging artificial intelligence tools or solutions, and are compensated on a commission basis. This means earnings are typically based on sales, project completions, or performance metrics rather than a fixed salary. These jobs can include AI sales, consulting, or implementation roles in which professionals help businesses adopt AI technologies. Working remotely allows for flexibility, while the commission structure incentivizes high performance and results. Such positions are common in tech and SaaS companies looking to expand their AI offerings.

How does working in a commission-based remote Artificial Intelligence role typically impact collaboration and communication with team members?

In a commission-based remote Artificial Intelligence position, collaboration is often project-driven and relies heavily on digital communication tools such as Slack, Zoom, or project management platforms. Since compensation is tied to specific deliverables or sales, clear communication around responsibilities, deadlines, and expectations is crucial. You may work with cross-functional teams, including data scientists, engineers, or sales professionals, and it's important to proactively seek feedback and updates to ensure project alignment. Regular virtual meetings and documentation help maintain transparency and foster teamwork despite the remote nature of the role.

What is the difference between Commission Remote Artificial Intelligence vs Commission Remote Data Science?

AspectCommission Remote Artificial IntelligenceCommission Remote Data Science
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in Data Analysis/Science
Work EnvironmentRemote, project-based, collaborative with AI teamsRemote, analytical, data-driven tasks with cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, research organizations
Common Search & ComparisonYesYes

Commission Remote Artificial Intelligence and Commission Remote Data Science share similar credentials and work environments, often collaborating in tech-driven industries. While AI roles focus on developing intelligent systems, data science roles analyze data to inform decisions. Both are in high demand for remote positions, but their core functions differ in application and expertise.

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Commission Remote Artificial Intelligence jobs near you

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

Posted 8 days ago

Job description

Artificial Intelligence Software Engineer

New York, New York, United States Or refer someone Job Openings

About the Job Artificial Intelligence Software Engineer

Artificial Intelligence Software Engineer - Hybrid/Remote - NYC

No visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.

Responsibilities:

  • Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.
  • Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.
  • Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.
  • Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.
  • Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.
  • Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.
  • Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.
  • Document design specifications, implementation details, and best practices for internal and external stakeholders.
  • Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.
  • Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.
  • Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
  • Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
  • Familiarity with software engineering best practices, including version control, testing, and code review.
  • Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

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