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Remote Conversational Ai Jobs in California (NOW HIRING)

talentpluto

Content Marketing

San Francisco, CA · On-site +1

Remote (United States) Work Model: Remote Industry: AI infrastructure / developer tools ... The company is past $2M in revenue and growing quickly, has onboarded more than 150 conversational ...

talentpluto

Head of Marketing

San Francisco, CA · On-site +1

Remote Industry: AI infrastructure / conversational AI Compensation: Competitive base and OTE, commensurate with experience About the Company Our partner is a fast-growing, seed-stage AI ...

DocuSign

AI Agentic Engineer

San Francisco, CA · On-site +1

$62 - $85/hr

Employee divides their time between in-office and remote work. Access to an office location is ... Ability to design and implement Conversational AI chatbots and virtual assistants to deliver ...

Transformco

AI Engineer II (REMOTE)

CA · On-site +1

$105K - $143K/yr

Familiarity with large language models (LLMs), conversational AI, and AI-driven workflow design * Experience in solution performance measurement, optimization, and re-architecture at scale

New

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Experience with character AI, conversational AI, or NPC behavior systems * Background in gaming ...

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Experience with character AI, conversational AI, or NPC behavior systems * Background in gaming ...

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Remote Conversational Ai information

What is remote conversational AI?

Remote Conversational AI jobs involve working with artificial intelligence systems that interact with users through natural language, such as chatbots and virtual assistants. These roles can include developing, training, testing, and maintaining AI models, as well as designing conversational flows and improving user interactions. The work is performed remotely, allowing employees to contribute from anywhere with an internet connection. Professionals in this field often have backgrounds in computer science, linguistics, or UX design, and work closely with teams to enhance the AI's ability to understand and respond to human language.

What are the key skills and qualifications needed to thrive as a remote conversational AI specialist?

To thrive as a Remote Conversational AI Specialist, you need expertise in natural language processing, machine learning, and a strong understanding of AI-driven dialogue systems, often supported by a degree in computer science or related fields. Familiarity with platforms like Dialogflow, Rasa, or Microsoft Bot Framework, as well as programming languages such as Python, is typically required. Strong problem-solving, collaboration, and communication skills help you gather requirements and iterate on conversational designs with cross-functional teams. These skills are crucial for developing effective, user-friendly AI interactions that drive customer satisfaction and business value.

What are some common challenges faced by remote conversational AI professionals, and how can they be addressed?

Remote Conversational AI professionals often encounter challenges such as maintaining clear communication with cross-functional teams, staying updated with rapidly evolving AI technologies, and ensuring the AI models are culturally and contextually appropriate for diverse users. To address these, it's important to establish regular virtual check-ins, participate in ongoing training or knowledge-sharing sessions, and leverage collaborative tools for version control and feedback. Proactively seeking feedback from both users and stakeholders also helps refine conversational flows and improve AI effectiveness.

What is the difference between Remote Conversational Ai vs Remote Chatbot Developer?

AspectRemote Conversational AiRemote Chatbot Developer
Required SkillsNatural Language Processing, AI frameworks, API integrationProgramming, scripting, chatbot platform development
Work EnvironmentCollaborates with AI teams, data scientists, product managersWorks with developers, UI/UX designers, clients
Industry UsageAI-driven customer support, virtual assistantsCustomer service bots, lead generation bots
CertificationsAI/ML certifications, NLP coursesProgramming certifications, platform-specific training

Remote Conversational Ai specialists focus on designing and implementing AI-powered conversational systems using NLP and machine learning, often working with data scientists. Remote Chatbot Developers primarily build and code chatbots using scripting and platform tools. While both roles involve chatbot technology, Remote Conversational Ai emphasizes AI and NLP expertise, whereas Remote Chatbot Developer centers on coding and platform integration.

What are the most commonly searched types of Conversational Ai jobs in California?

The most popular types of Conversational Ai jobs in California are:

What are popular job titles related to Remote Conversational Ai jobs in California?

For Remote Conversational Ai jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Conversational Ai jobs in California look for?

The top searched job categories for Remote Conversational Ai jobs in California are:

What cities in California are hiring for Remote Conversational Ai jobs?

Cities in California with the most Remote Conversational Ai job openings:

Remote Conversational Ai jobs near you
Infographic showing various Remote Conversational Ai job openings in California as of August 2026, with employment types broken down into 56% Full Time, 10% Part Time, and 34% Contract. Highlights an 100% Remote job distribution.

Staff Machine Learning Engineer - Applied AI

Uber Technologies, Inc.

San Francisco, CA • On-site, Remote

Full-time

Retirement

Re-posted 26 days ago

Uber rating

6.7

Company rating: 6.7 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Team:

The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Personalization, Generative AI, Computer Vision, ML Optimization and Geospatial AI.

About the Role:

We are building AI-native discovery experiences across Mobility and Delivery. Search, recommendations, and conversational AI are central to how millions of users discover rides, restaurants, grocery items, and retail products every day.  We are hiring a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering these experiences.

At this level, you will not just build models - you will shape technical direction across teams, influence product strategy, and deliver measurable impact at global scale.

What the Candidate Will Do

  • Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI.
  • Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility).
  • Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants.
  • Define long-term investment areas (build vs fine-tune vs partner models).
  • Mentor senior engineers and act as a technical multiplier across the org.

Basic Qualifications

  • Masters degree or Ph.D in Computer Science, Engineering, Mathematics 
  • 8+ years of ML experience, including significant work on large-scale deep learning systems.
  • Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI.
  • Deep expertise in transformers, retrieval systems, ranking, and embedding architectures.
  • Strong experience with PyTorch and distributed training .
  • Track record of influencing technical direction across teams.
  • Strong product intuition and ability to connect model improvements to business outcomes.

Preferred Qualifications

  • Experience leading multi-team ML initiatives.
  • Defined long-term technical roadmaps adopted across orgs.
  • Elevated engineering standards through mentorship and technical leadership.



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Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.


For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.


For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.


For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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