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$97K

$153.1K

$250K

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

As of Sep 10, 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 is a commission remote artificial intelligence job?

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 remote artificial intelligence role 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 are the key skills and qualifications needed to thrive as a commission remote artificial intelligence specialist?

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 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
Infographic showing various Commission Remote Artificial Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $153,084 per year, or $73.6 per hour.

VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home

San Francisco, CA • On-site, Remote

Next Step Systems
IT Services • 11 - 50 employees
Learn more about Next Step Systemsexternal

$212K - $273K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 days ago

Job description

Company Description
Job Description
VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home
As the VP of Engineering Applications, you will turn intelligence into a real product. The VP of Engineering Applications is responsible for the engineering systems, teams, and execution that turn Machine Learning (ML) capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms. The VP of Engineering Applications role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery. This position is 100% Remote.
VP of Engineering Applications Responsibilities:
- Own the application engineering strategy and execution across backend, mobile, and desktop.
- Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
- Set the architectural direction for Artificial Intelligence (AI)-powered product workflows, APIs, and client integrations.
- Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
- Partner closely with Machine Learning leadership to translate model capability into shippable product features.
- Make high-impact decisions across latency, cost, reliability, security, and user experience.
- Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift.
- Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
- Balance speed and discipline shipping quickly without compromising long-term system quality.
VP of Engineering Applications Outcomes:
- Reliable, low-latency Artificial Intelligence (AI) user experiences across backend, mobile, and desktop
- Clear architectural boundaries that allow teams to move fast without constant rewrites.
- Measurable improvements in system performance, stability, and production reliability.
- Strong observability and operational discipline across all application systems.
- A small, senior team that ships frequently, owns what they build, and raises the technical bar.
- Team members are empowered, growing in their roles, and able to make high-impact contributions.
Qualifications
VP of Engineering Applications Qualifications:
- Significant experience leading application or product engineering for complex systems.
- Artificial Intelligence (AI) experience required.
- Strong hands-on background building and shipping backend systems used in production.
- Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs.
- Excellent system design skills across services, APIs, clients, and data flows.
- Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.
- Proven ability to make high-impact technical decisions under ambiguity.
- A strong bias toward shipping, iteration, and learning from real-world usage.
- Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, VP of Engineering Applications, AI, Artificial Intelligence, APIs, Application Engineering, Backend, Desktop, Low Latency, ML, Machine Learning, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a VP of Engineering Applications in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire VPs of Engineering Applications for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
Please check out all of our jobs at www.nextstepsystems.com.

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