2

Remote Ai Agent Jobs in Spring Valley, CA (NOW HIRING)

CX Agent Voice Cloning (USA) Type: Contract Compensation: $50-$150/hour Location: Remote Commitment ... Your voice may be cloned for the clients CX AI Agent so please only apply if you are okay with ...

Remote Insurance Agent

San Diego, CA · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Be Seen First

Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass background ... Evaluate AI orchestration workflows including prompt execution, agent routing, tool calling ...

next page

Showing results 1-20

Remote Ai Agent information

How does a remote AI agent typically collaborate with cross-functional teams while working from different locations?

Remote AI Agents often work closely with data scientists, software engineers, and product managers through digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Effective communication and clear documentation are essential, as team members may be in different time zones. Regular virtual meetings and asynchronous updates help ensure alignment on project goals and tasks. Building strong remote relationships and proactively sharing progress or challenges are key to successful collaboration in this role.

How can I become a remote AI agent?

To become a remote AI agent, you typically need a strong understanding of artificial intelligence, machine learning, and related tools such as Python or TensorFlow. Gaining relevant experience through online courses, certifications, or projects, and demonstrating problem-solving skills are important for securing remote positions in this field.

What are the key skills and qualifications needed to thrive as a remote AI agent, and why are they important?

To thrive as a Remote AI Agent, you need a solid understanding of artificial intelligence concepts, problem-solving abilities, and typically a background in computer science or a related field. Familiarity with AI platforms, chatbot frameworks, and workflow automation tools is often required, along with experience using communication and ticketing systems. Strong written communication, adaptability, and self-motivation are crucial soft skills for excelling in a remote environment. These competencies ensure effective support, continuous learning, and high-quality interactions with clients or users in a technology-driven context.

What is a remote AI agent?

Remote AI agents are software programs or systems that utilize artificial intelligence to perform tasks or provide services from a remote location, often via the internet or cloud platforms. These agents can automate processes, analyze data, interact with users, or manage digital operations without the need for physical presence. Remote AI agents are commonly used in customer service, virtual assistance, technical support, and more, helping businesses improve efficiency and scalability. Their remote nature allows them to operate 24/7 and integrate seamlessly with various digital platforms.

What remote AI jobs can be done remotely?

Remote AI jobs include roles such as AI developer, machine learning engineer, data scientist, and AI research scientist. These positions often require skills in programming, data analysis, and familiarity with AI tools and frameworks, and they can typically be performed from any location with a reliable internet connection.

What is the difference between Remote Ai Agent vs Customer Support Specialist?

AspectRemote Ai AgentCustomer Support Specialist
Required CredentialsBasic technical knowledge, AI tools familiarityCustomer service skills, communication skills
Work EnvironmentRemote, AI-driven platformsRemote or on-site, customer interaction
Employer & Industry UsageTech companies, AI service providersRetail, telecom, service industries
Common Search & ComparisonAI automation, virtual assistanceCustomer service roles, support jobs

The main difference between a Remote Ai Agent and a Customer Support Specialist lies in their focus and tools. Remote Ai Agents primarily work with AI-driven platforms to assist or automate customer interactions, requiring some technical knowledge. Customer Support Specialists handle direct customer interactions, emphasizing communication skills. Both roles are often remote but serve different functions within customer service and tech industries.

What are the most commonly searched types of Ai Agent jobs in Spring Valley, CA? The most popular types of Ai Agent jobs in Spring Valley, CA are:
What job categories do people searching Remote Ai Agent jobs in Spring Valley, CA look for? The top searched job categories for Remote Ai Agent jobs in Spring Valley, CA are:
What cities near Spring Valley, CA are hiring for Remote Ai Agent jobs? Cities near Spring Valley, CA with the most Remote Ai Agent job openings:

Customer Support Operations Manager - Intercom & Fin AI

Vista Fulfillment Group

Santee, CA • Remote

$30 - $40/hr

Full-time

Medical, Dental

Re-posted 2 days ago


Job description

Remote — United States Only
Full-Time | 40 Hours/Week
Hourly Rate: $30–$40/hour, depending on experience
Benefits: Medical and dental benefits available
Reports To: COO

About the Role

Vista Fulfillment Group is hiring a full-time Customer Support Operations Manager to lead our customer support team and improve the systems, workflows, and response times behind our customer service operation.

This is a remote position open to candidates located anywhere in the United States. The schedule is a standard 40-hour work week, Monday through Friday, with availability required during business hours from 9:00 AM to 5:00 PM.

This role is responsible for managing a team of approximately 10 customer support agents who handle customer tickets, refunds, disputes, order issues, phone support, email support, and Intercom chat support.

We are looking for a hands-on CS leader who can both manage people and improve systems. The ideal candidate must have strong experience with Intercom, including inbox management, reporting, routing, workflows, automations, and help center structure. They must also have strong experience with Fin AI, Intercom’s AI agent, including setup, flow design, automation planning, content structure, and implementation.

Our current first response time averages around 48 hours. A major goal of this role is to reduce first response time to 12 hours ideally, and no later than 24 hours, while improving ticket quality, accountability, and SLA performance.

Preferred Experience

Experience implementing Fin AI from the ground up or rescuing a failed AI support implementation.

Experience in ecommerce, fulfillment, logistics, retail, marketplaces, alcohol, or order-management support environments.

Experience handling refund, dispute, chargeback, delivery issue, and customer complaint workflows.

Experience creating CS dashboards, weekly KPI reports, SOPs, internal playbooks, and quality assurance scorecards.

Experience working with technical teams to improve integrations, reporting, AI workflows, and automation logic.

Ideal Candidate

The ideal candidate is a hands-on customer support operator who can manage a team, improve accountability, and personally help build a better Intercom and Fin AI support system.

This person should not only understand customer service management, but also know how to structure support workflows, build automations, analyze ticket data, and use AI to reduce manual workload without sacrificing service quality.

We are looking for someone who can take a support department with a 48-hour average first response time and build the systems, team discipline, and automation needed to bring that down to 12–24 hours.

Location

Remote, United States only.

Requirements

Key Responsibilities
  • Lead and manage a customer support team of approximately 10 agents handling tickets, refunds, disputes, order issues, chat, email, and phone support.
  • Monitor daily support performance, ticket queues, backlog, response times, resolution times, SLA compliance, quality standards, and agent productivity.
  • Reduce average first response time from approximately 24 hours to 12 hours ideally, and no later than 24 hours.
  • Build, improve, and manage Intercom workflows, routing rules, inbox structure, automations, tags, macros, reporting dashboards, team assignments, and escalation paths.
  • Lead the implementation of Fin AI, including flow design, AI response logic, help center content strategy, escalation rules, automation structure, and ongoing optimization.
  • Work with developers, consultants, or internal technical resources when needed to properly implement Fin AI, integrations, reporting, and automation improvements.
  • Analyze Intercom reports and support data to identify bottlenecks, agent performance issues, recurring customer problems, workflow gaps, and automation opportunities.
  • Create and maintain SOPs for ticket handling, refunds, disputes, escalations, SLA standards, phone support, chat support, and email support.
  • Train customer support agents on Intercom usage, Fin AI workflows, support quality expectations, communication standards, escalation procedures, and performance goals.
  • Review team performance and recommend staffing changes, coaching plans, disciplinary actions, promotions, or workflow adjustments to leadership.
  • Ensure support operations meet partner expectations and that SLA risks are identified and escalated quickly.
  • Work closely with the COO, operations team, fulfillment team, account management, and developers to improve customer experience and resolve recurring issues.
Required Qualifications
  • Must be located in the United States.
  • Bachelor’s degree required.
  • Experience managing customer support teams of at least 10 people.
  • Minimum 3 years of hands-on Intercom experience.
  • Minimum 3 years of hands-on experience with Fin AI, Intercom’s AI agent, including setup, flow design, automation, and optimization.
  • Strong understanding of customer support KPIs, including first response time, resolution time, backlog, SLA compliance, CSAT, escalation volume, ticket volume, productivity, and quality assurance.
  • Experience managing chat, email, and phone support teams.
  • Ability to build and improve Intercom workflows, inbox rules, routing logic, macros, reports, automations, help center content, and escalation processes.
  • Technical comfort with basic APIs, integrations, reporting exports, data analysis, and working with developers or consultants to complete support system improvements.
  • Strong leadership skills with the ability to coach, train, hold agents accountable, and recommend changes when needed.
  • Excellent written and verbal communication skills.
  • Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.

Benefits

  • This is a full-time hourly role with a rate of $30–$40/hour, depending on experience, leadership background, Intercom expertise, Fin AI implementation experience, and technical ability.
  • Medical and dental benefits are available.