2

Work From Home Rcdd Jobs in California (NOW HIRING)

next page

Showing results 1-20

Work From Home Rcdd information

See California salary details

$24

$47

$71

How much do work from home rcdd jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for work from home rcdd in California is $47.78, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $58.12 per hour, depending on experience, location, and employer.

What is the difference between Work From Home Rcdd vs Customer Service Representative?

AspectWork From Home RcddCustomer Service Representative
CredentialsTypically requires certification in remote customer support or related fieldsHigh school diploma or equivalent; some roles may require specific training
Work EnvironmentHome-based, flexible hours, remote communication toolsOffice or remote, often scheduled shifts, phone and computer-based
Industry UsageCommon in customer support, tech support, and sales sectorsWidespread across retail, telecom, banking, and service industries

Work From Home Rcdd and Customer Service Representative roles both involve assisting customers via phone or online. However, Work From Home Rcdd positions often require specific remote work certifications and offer more flexible schedules, while Customer Service Representatives may have more structured hours and less specialized credentials. Both roles are vital in customer support industries, with overlapping skills but different work environments and credential requirements.

What are the key skills and qualifications needed to thrive as a Work From Home RCDD (Registered Communications Distribution Designer), and why are they important?

To thrive as a Work From Home RCDD, you need a solid background in telecommunications infrastructure design, detailed knowledge of industry standards, and the BICSI RCDD certification. Familiarity with CAD software, project management tools, and telecommunications design platforms is typically required. Excellent self-motivation, communication, and problem-solving skills are essential for collaborating remotely and delivering accurate designs. These skills and qualifications ensure the design and implementation of safe, effective, and compliant network infrastructure in a remote work environment.

What is a Work From Home RCDD?

A Work From Home RCDD is a Registered Communications Distribution Designer who performs their job duties remotely. RCDDs are professionals certified by BICSI to design, integrate, and manage information and communications technology (ICT) systems and infrastructure. Working from home, an RCDD may create network infrastructure plans, consult with clients, and oversee projects virtually, using digital tools and communication platforms. This arrangement allows for flexibility while still adhering to industry standards and project requirements.

How does working remotely as an RCDD affect collaboration with project teams and clients?

As a Work From Home RCDD (Registered Communications Distribution Designer), you’ll often rely on digital collaboration tools, such as video conferencing, project management software, and cloud-based document sharing, to stay connected with engineers, architects, and clients. While remote work offers flexibility, it can present challenges in coordinating site visits or addressing real-time design changes. Proactive communication and clear documentation are essential for ensuring all stakeholders are aligned and project milestones are met efficiently. Building strong virtual relationships with team members and clients is key to maintaining high-quality outcomes and client satisfaction.

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 21 days ago


Job description

Job Description

AI Backend Engineer, Work From Home

We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform.  This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience.  This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.  We have multiple openings for this position.  This position is 100% Remote.

AI Backend Engineer Responsibilities:

- Build and operate backend systems that serve AI-powered insurance workflows in production.

- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.

- Build inference pipelines for LLM-based and AI-assisted automation systems.

- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).

- Design stable service boundaries between backend systems, ML components, and product APIs.

- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.

- Debug production issues across distributed AI systems and resolve root causes.

- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.

- Continuously improve system reliability, scalability, and performance.

AI Backend Engineer Outcomes:

- AI backend systems run reliably at scale with low latency and high availability.

- AI workflows are stable, observable, and production-ready across multiple products.

- System performance improves continuously through real-world feedback and optimization.

- Production incidents are quickly detected, diagnosed, and resolved.

- AI capabilities are seamlessly integrated into global customer and internal workflows.

Qualifications

AI Backend Engineer Qualifications:

- Strong backend engineering experience in production systems.

- Experience building or operating high-throughput, low-latency services.

- Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).

- Experience with distributed systems and production debugging.

- Strong understanding of APIs, data flows, and system design principles.

- Experience with observability tools (logging, monitoring, tracing).

- Strong ownership mindset and bias toward shipping.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:  Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.

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

Keywords:  San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an AI Backend Engineer 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 AI Backend Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

All your information will be kept confidential according to EEO guidelines.