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Commission Remote Artificial Intelligence Jobs (NOW HIRING)

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$48.50 - $66.25/hr

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

As of Jun 12, 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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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
Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

General Dynamics Mission Systems, Inc

Remote

$142K - $158K/yr

Full-time

Posted 8 days ago

General Dynamics Mission Systems rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

77th of 188 rated software companies

Job description

Basic Qualifications
Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.
CLEARANCE REQUIREMENTS:: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
What You'll Own
  • Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source).
  • Data-to-insight pipelines. Implement document ingestion workflows that transform unstructured enterprise data into structured models for AI reasoning - embeddings, vectorization, knowledge graphs.
  • API integration. Design and build secure API interfaces that connect AI services to internal tools, enterprise platforms (Oracle, IFS, Snowflake, PLM, MES, CRM), and data sources.
  • Deployment and reliability. Containerize and deploy AI services using Docker and Kubernetes. Build monitoring and evaluation pipelines to track model reliability, latency, and operational performance.
  • Prompt engineering at scale. Design, test, and optimize prompts and agent configurations for production use - not demos.
What You Won't Own
  • Platform architecture decisions - that's the Lead Architect's job
  • Project coordination, scheduling, or status reporting
  • Vendor evaluations or tool selection committees
What Makes This Role Different
  • You will build production AI systems for a 10,000-person enterprise - not prototypes, not demos, not proofs of concept
  • You will work in a multi-model environment (Claude, Codex, Gemini, open source) on real enterprise problems - legacy modernization, ERP replacement, manufacturing intelligence
  • AI-assisted development is the default workflow - Claude Code, Codex, agentic tooling. You will use AI to build AI.
  • The team is small, the problems are hard, and your code ships to production. Your work will directly change how a major defense enterprise operates.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, plus 5 years of experience; or Master's degree plus 3 years of experience
  • Production experience building applications with LLM APIs - you have deployed generative AI services that real users relied on, not just experimented with in notebooks
  • Strong Python development skills - you write clean, testable, production-grade code, not scripts
  • Experience with RAG pipelines, vector databases, and document ingestion workflows in production environments
  • Experience building and consuming REST APIs - you have integrated AI services with enterprise systems and data platforms
  • Containerized deployment experience - Docker, Kubernetes, CI/CD pipelines. You have shipped code through automated pipelines, not manual deployments.
  • U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire.
Preferred Qualifications
  • Experience with agent frameworks - LangChain, LangGraph, or similar tools for building multi-step, tool-using AI workflows
  • Experience with multiple cloud platforms (AWS, Azure, GCP) including cloud-native AI services
  • Hands-on use of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) as part of your daily workflow
  • Experience with streaming data pipelines (Kafka, Airflow) and production data infrastructure
  • Model monitoring and evaluation - you have built systems to track AI service reliability, not just accuracy metrics in a notebook
  • Commercial technology background - SaaS, healthcare, fintech, or platform engineering. Defense experience is not required.
What Sets You Apart
  • You build things that work. Your default response to a problem is code, not a document.
  • You have shipped AI systems that real users depended on in production.
  • You are comfortable working without detailed specs - you can take a problem statement and figure out the right approach.
  • You care about reliability as much as capability - you monitor what you deploy.
  • You move fast without being reckless. You know when to iterate and when to get it right the first time.
Details
  • Remote - 100% telework
  • 9/80 schedule
  • Defense industry experience is not required

Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $142,696.00 - USD $158,303.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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