United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the ... Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live ...
United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the ... Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live ...
Remote Edge Computing information
See Phoenix, AZ salary details
$15.28 - $17.29
5% of jobs
$17.29 - $19.31
10% of jobs
$21.23 is the 25th percentile. Wages below this are outliers.
$19.31 - $21.33
11% of jobs
$21.33 - $23.35
2% of jobs
$23.35 - $25.37
17% of jobs
The median wage is $27.38 / hr.
$25.37 - $27.38
5% of jobs
$27.38 - $29.40
10% of jobs
$29.40 - $31.42
11% of jobs
$32.24 is the 75th percentile. Wages above this are outliers.
$31.42 - $33.44
12% of jobs
$33.44 - $35.46
11% of jobs
$35.46 - $37.47
7% of jobs
$15
$27
$37
How much do remote edge computing jobs pay per hour?
As of Jul 18, 2026, the average hourly pay for remote edge computing in Phoenix, AZ is $27.48, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $32.93 per hour, depending on experience, location, and employer.
What is the difference between Remote Edge Computing vs Remote Cloud Engineer?
| Aspect | Remote Edge Computing | Remote Cloud Engineer |
|---|---|---|
| Required Credentials | Networking, IoT, hardware knowledge, certifications in edge computing or networking | Cloud platforms, scripting, certifications like AWS, Azure, GCP |
| Work Environment | Distributed hardware, local data processing sites, on-site or remote hardware management | Data centers, cloud platforms, virtual environments |
| Employer & Industry Usage | Tech companies, IoT providers, manufacturing, retail | Tech firms, SaaS providers, enterprise IT, startups |
Remote Edge Computing focuses on deploying and managing computing resources at the data source or network edge, often involving hardware and IoT devices. In contrast, Remote Cloud Engineers work primarily with cloud platforms to develop, deploy, and maintain cloud-based applications and infrastructure. Both roles require technical certifications and involve remote work, but they differ in their focus on hardware versus cloud services.
What are popular job titles related to Remote Edge Computing jobs in Phoenix, AZ? For Remote Edge Computing jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Edge Computing jobs in Phoenix, AZ look for? The top searched job categories for Remote Edge Computing jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Edge Computing jobs? Cities near Phoenix, AZ with the most Remote Edge Computing job openings:
Job description
Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.
Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.
* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).
* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.
* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.
* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.
About Koantek
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Chandler, AZ, US
Year founded
2020