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Commission Remote Artificial Intelligence Jobs (NOW HIRING)

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$120K - $180K/yr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This position is Remote with Ad-Hoc travel possible but not expected. Responsibilities * Manage and ...

Statheros

Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for professional development and research contributions * Access to state-of-the-art resources and tools for AI ...

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Commission Remote Artificial Intelligence information

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$97K

$153.1K

$250K

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

As of Jul 13, 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.

More about Commission Remote Artificial Intelligence jobs
What cities are hiring for Commission Remote Artificial Intelligence jobs? Cities with the most Commission Remote Artificial Intelligence job openings:
What are the most commonly searched types of Remote Artificial Intelligence jobs? The most popular types of Remote Artificial Intelligence jobs are:
What states have the most Commission Remote Artificial Intelligence jobs? States with the most job openings for Commission Remote Artificial Intelligence jobs include:
What job categories do people searching Commission Remote Artificial Intelligence jobs look for? The top searched job categories for Commission Remote Artificial Intelligence jobs are:
Commission Remote Artificial Intelligence jobs near you
Infographic showing various Commission Remote Artificial Intelligence job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,084 per year, or $73.6 per hour.

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

Job description

Job Description

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

As Machine Learning Technical Lead, you own the execution layer of intelligence.  You will translate research direction into reliable, scalable, production-grade ML systems.  This role sits at the intersection of research, infrastructure, and product.  You will be responsible for making models trainable, deployable, observable, and performant under real-world constraints.  This position is 100% Remote.

Machine Learning Technical Lead Responsibilities:

- Own end-to-end ML system execution:  data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.

- Architect and operate scalable inference systems, balancing latency, cost, and reliability.

- Design and maintain data systems for high-quality synthetic and real-world training data.

- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.

- Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.

- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

- Work under real production constraints: latency, cost, reliability, and safety

Machine Learning Technical Lead Outcomes:

- Research and models reliably translate into production-ready solutions with clear performance and quality targets.

- ML pipelines, training loops, and inference systems are stable, efficient, and maintainable.

- Production issues are detected, debugged, and resolved quickly, minimizing user impact.

- Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction.

- Iterations on models and systems are measurable, safe, and improve user experience over time.

Qualifications

Machine Learning Technical Lead Qualifications:

- Experience building or shipping real Machine Learning systems used by people, not just demos.

- Artificial Intelligence (AI) experience required.

- Experience working with large models and understanding their failure modes.

- Experience writing strong, production-grade code.

- You are self-directed, pragmatic, and take full ownership of outcomes.

- You communicate clearly and collaborate well in small, high-trust teams.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Machine Learning Technical Lead, AI, Artificial Intelligence, Distillation, DPO, GPU Optimization, JAX, LoRA, Machine Learning, Python, PyTorch, QLoRA, SFT, Technical Lead, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Machine Learning Technical Lead 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 Machine Learning Technical Leads 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.ginastechjobs.com.

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