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Permanent Remote Call Monitoring Jobs in San Rafael, CA

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ... call, fallback behavior, and exception handling - Implement guardrails, monitoring, and audit ...

Managing Top Performing Fully Remote Sales Teams! Position Overview: As an outsourced sales company ... Tracks and monitors sales reps' pipelines to ensure best lead management practices * Consistently ...

Sales Director

San Francisco, CA · Remote

$120K - $250K/yr

Managing Top Performing Fully Remote Sales Teams! Position Overview: As an outsourced sales company ... Tracks and monitors sales reps' pipelines to ensure best lead management practices * Consistently ...

Product Marketing Lead

San Francisco, CA · On-site +1

$231K - $257K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Build ... Deeply understand your customers through research, sales call listening, and direct conversations ...

Monitor deadlines, budgets, and deliverables to ensure timely and efficient service. * Participate ... We call it the Aprio Way. This shared mindset creates lasting relationships between team members ...

Tax Manager, Private Client

Walnut Creek, CA · On-site +1

$98K - $164K/yr

Monitor deadlines, budgets, and deliverables to ensure timely and efficient service. * Participate ... We call it the Aprio Way. This shared mindset creates lasting relationships between team members ...

Showing results 41-60

Permanent Remote Call Monitoring information

See San Rafael, CA salary details

$11

$19

$27

How much do permanent remote call monitoring jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for permanent remote call monitoring in San Rafael, CA is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $21.15 per hour, depending on experience, location, and employer.

What is a permanent remote call monitoring?

A Permanent Remote Call Monitoring job involves listening to and evaluating customer service or sales calls from a remote location on a long-term basis. The main goal is to assess call quality, ensure compliance with company standards, and provide feedback to improve customer interactions. These professionals use specialized software to access recorded or live calls, document their observations, and sometimes report findings to management. This role is often fully remote and can be full-time or part-time, depending on the employer's needs. It requires attention to detail, good communication skills, and a strong understanding of customer service protocols.

What are the key skills and qualifications needed to thrive as a permanent remote call monitoring specialist?

To thrive as a Permanent Remote Call Monitoring Specialist, you need strong analytical abilities, attention to detail, and experience in quality assurance, typically supported by a background in customer service or call center operations. Familiarity with call monitoring software, CRM systems, and reporting tools is essential, and certifications in quality assurance or call center management can be advantageous. Exceptional communication, objectivity, and problem-solving skills help you provide constructive feedback and foster continuous improvement. These skills ensure that customer interactions meet company standards, driving customer satisfaction and operational excellence in a remote environment.

What are some common challenges faced by professionals in permanent remote call monitoring roles, and how can they be managed?

Permanent Remote Call Monitoring professionals often navigate challenges such as maintaining consistent attention to detail during lengthy call reviews and adapting to evolving company protocols. Working remotely can also make it harder to communicate quickly with team members or receive immediate feedback. To manage these challenges, it's important to establish a structured daily routine, leverage digital collaboration tools for team communication, and regularly review updated guidelines. Staying proactive about feedback and participating in virtual team check-ins can also help maintain quality and foster a sense of connection.

What is the difference between Permanent Remote Call Monitoring vs Remote Customer Service Representative?

AspectPermanent Remote Call MonitoringRemote Customer Service Representative
CredentialsTypically requires call monitoring or quality assurance certificationsUsually requires customer service or communication skills, sometimes certifications in specific industries
Work EnvironmentRemote, focused on monitoring and evaluating callsRemote, focused on assisting customers via calls or chat
Employer & IndustryCall centers, quality assurance firms, customer service departmentsCustomer service, retail, tech support across various industries

Permanent Remote Call Monitoring involves evaluating and ensuring call quality remotely, often requiring specific certifications. Remote Customer Service Representatives directly assist customers, focusing on support and problem-solving. While both roles are remote and industry-related, their core functions differ: monitoring vs. direct customer interaction.

What are popular job titles related to Permanent Remote Call Monitoring jobs in San Rafael, CA?

For Permanent Remote Call Monitoring jobs in San Rafael, CA, the most frequently searched job titles are:

What job categories do people searching Permanent Remote Call Monitoring jobs in San Rafael, CA look for?

The top searched job categories for Permanent Remote Call Monitoring jobs in San Rafael, CA are:

What cities near San Rafael, CA are hiring for Permanent Remote Call Monitoring jobs?

Cities near San Rafael, CA with the most Permanent Remote Call Monitoring job openings:

Infographic showing various Permanent Remote Call Monitoring job openings in San Rafael, CA as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 77% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $39,918 per year, or $19.2 per hour.

AI Engineer

Cargomatic

San Francisco, CA • Remote

$150K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Cargomatic rating

4.3

Company rating: 4.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

AI Engineer - Agentic Automation
Location: Remote
Compensation: $150,000 - $210,000
Join a rapidly growing company disrupting the trucking industry! Cargomatic is the #1 technology platform and digital marketplace for powering world-class, local trucking. Take a look around you. Literally everything humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, and yet this $82 billion industry still relies heavily on phone calls and fax machines. Cargomatic is transforming the way goods move around every local node in the supply chain by connecting shippers and commercial truck drivers with mobile technology. We are solving complex, real-world problems every day, and giving full transparency to the shipping process.
Cargomatic is seeking a highly hands-on AI Engineer who thrives in fast-paced environments and is passionate about rapid prototyping and deploying standalone AI-driven applications. This role focuses on building agentic AI systems and automation tools that integrate with our ecosystem and deliver immediate business value - working alongside a live TMS and RPA stack, with real exception-handling and audit requirements. You will work at the intersection of AI, product development, and infrastructure - quickly turning ideas into working prototypes and scaling the most promising solutions into production.
Key Responsibilities
- Design agentic AI workflows for structured logistics operations, with clear escalation paths to human review or RPA where deterministic handling is required
- Call core platform/internal APIs to integrate automation workflows into our TMS and other internal systems, partnering with front-end and backend engineering on execution
- Integrate LLMs, APIs, and data pipelines into reliable production services - including data engineering tie-ins with systems like Firestore and Redshift
- Build and implement agentic AI systems capable of autonomous decision-making and task execution
- Own evaluation frameworks - accuracy, latency, cost per call, fallback behavior, and exception handling
- Implement guardrails, monitoring, and audit trails for production AI systems
- Collaborate with Product and Ops to define success metrics before building
- Leverage modern LLM ecosystems, including Claude-based and code-first AI frameworks, to build intelligent agents and workflows
- Stay current with advancements in AI/ML, especially in agent frameworks and automation tooling
- Build lightweight frontend interfaces from product prototypes, and partner with full-stack engineering to productionize and scale successful prototypes
Required
- 3+ years in software engineering with hands-on experience shipping AI or automation systems in production enterprise environments
- Strong grasp of agentic AI concepts - tool use, function calling, exception routing, and confidence handling at scale
- Clear understanding of where LLMs and agentic systems outperform RPA - and where they don't
- Comfortable working alongside RPA developers - understands how to hand off structured outputs into downstream deterministic workflows
- Experience with LLM APIs (Claude, OpenAI) including prompt design, orchestration, and evaluation
- Workflow orchestration experience - n8n, LangChain, Temporal, or similar
- Familiarity with no-code/low-code automation tools including Zapier, with the ability to know when to move beyond them
- Experience building rules-based automation with structured inputs, exception handling, and audit trails
- Familiarity with RAG and vector databases
- Experience integrating with TMS or ERP platforms, including calling core platform/internal APIs to execute production actions
- Backend proficiency in Node.js; comfort with React for building lightweight interfaces; comfortable partnering with full-stack and data engineering teams to ship into production systems
- AWS experience (Lambda, ECS, S3)
- Familiarity with databases and data warehouses such as MongoDB, RDS (PostgreSQL/MySQL), Firestore, and Redshift
- Experience integrating third-party APIs and building microservices
- Active GitHub or demonstrated track record of shipping AI systems in production beyond the prototype stage
Benefits & Perks
Competitive compensation
Medical, dental, and vision benefits
401K company match program
Flexible paid time off (PTO) and paid holidays

Equal Opportunity Employer

Cargomatic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


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