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Remote Ai Chatbot Trainer Jobs (NOW HIRING)

Jobgether

Conduct conversational AI, chatbot, prompt, performance, reliability, and scalability testing for ... Contract-based opportunity with a remote work model. * Opportunity to work on Salesforce and ...

NeuraScale

Remote AI Training & Domain Expert

Manhattan, NY · Remote

$15 - $140/hr

Evaluate, refine, or create AI training content to boost model performance * Tackle intellectually ... Fully remote and flexible work--you control when and how much you work * A collaborative and global ...

Instant Serve LLC

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are ... NIST AI Framework training or certification. * Residency in Colorado is preferred. Join us to shape ...

Nightingale's List

Board-Certified Physician (Remote)

$150/hr

Board-Certified Physician (Remote)AI Training and Clinical Review$150/hr $150.00 per hour (USD)ContractRemote About the Role We are sourcing board-certified physicians for a short-term, fully remote ...

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Remote Ai Chatbot Trainer information

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How much do remote ai chatbot trainer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote ai chatbot trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

How do remote AI chatbot trainers typically collaborate with development teams to improve chatbot performance?

Remote AI Chatbot Trainers often work closely with software developers, data scientists, and product managers to enhance chatbot accuracy and user experience. They provide valuable feedback on chatbot conversations, flagging misinterpretations or outdated responses, and suggest improvements based on real user interactions. Collaboration is usually facilitated through regular virtual meetings, shared documentation, and feedback tools, ensuring that training data and user insights are effectively integrated into chatbot updates. This teamwork is essential for maintaining a high-quality, adaptable AI product.

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

To thrive as a Remote AI Chatbot Trainer, you need a strong background in language, analytical thinking, and familiarity with AI or machine learning concepts, often supported by a degree in linguistics, computer science, or related fields. Experience with annotation tools, chatbot platforms, and data labeling systems is highly valuable, and some roles may prefer certifications in AI or natural language processing. Attention to detail, clear written communication, and adaptability are crucial soft skills for efficiently training AI models and collaborating with remote teams. These abilities ensure high-quality chatbot performance, effective problem-solving, and continuous improvement in conversational AI systems.

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

AspectRemote Ai Chatbot TrainerRemote Customer Support Specialist
CredentialsBasic technical skills, understanding of AI and NLP conceptsCustomer service experience, communication skills
Work EnvironmentRemote, often collaborative with AI development teamsRemote or on-site, interacting directly with customers
Employer & IndustryTech companies, AI startups, chatbot development firmsRetail, telecom, e-commerce, and service industries
Search & Comparison IntentUnderstanding AI training roles, technical skills requiredCustomer service roles, communication skills, support tasks

The Remote Ai Chatbot Trainer focuses on training AI models by providing data and feedback, often requiring technical knowledge of AI and NLP. In contrast, the Remote Customer Support Specialist handles direct customer interactions, emphasizing communication and problem-solving skills. While both roles can be remote and involve customer interaction, their core responsibilities and skill sets differ significantly.

More about Remote Ai Chatbot Trainer jobs

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Cities with the most Remote Ai Chatbot Trainer job openings:

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What states have the most Remote Ai Chatbot Trainer jobs?

States with the most job openings for Remote Ai Chatbot Trainer jobs include:

What job categories do people searching Remote Ai Chatbot Trainer jobs look for?

The top searched job categories for Remote Ai Chatbot Trainer jobs are:

Remote Ai Chatbot Trainer jobs near you
Infographic showing various Remote Ai Chatbot Trainer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Salesforce Manual QA+ Agentforce(Must)

Jobgether

Remote

Contractor

Posted 10 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Salesforce Manual QA + Agentforce based in Netherlands.

This role is designed for an experienced QA professional specializing in Salesforce and Agentforce implementations.
You will take ownership of testing AI-powered agents, Salesforce workflows, integrations, and data flows across complex environments.
The position combines traditional quality assurance with conversational AI and prompt validation.
You will assess AI-generated responses for accuracy, relevance, compliance, reliability, and business impact.
Working closely with developers, architects, business analysts, and product teams, you will support Agile delivery from testing through production readiness.
The role offers the opportunity to contribute to innovative Salesforce solutions while strengthening quality, scalability, and user experience.

Accountabilities
  • Design and execute comprehensive test strategies for Salesforce Agentforce implementations, covering functional requirements, business workflows, AI agent behavior, topics, actions, and prompts.
  • Perform functional, regression, integration, system, UAT, end-to-end, smoke, and release validation testing across Salesforce environments.
  • Validate Agentforce integrations with Salesforce Clouds and third-party applications, ensuring reliable data exchange and expected business outcomes.
  • Test AI-generated responses and conversational experiences for accuracy, relevance, consistency, compliance, and alignment with business requirements.
  • Conduct conversational AI, chatbot, prompt, performance, reliability, and scalability testing for AI-powered agents.
  • Validate Salesforce Data Cloud integrations, data synchronization, and data quality across connected systems.
  • Create and maintain detailed test cases, test data, test suites, and supporting automation assets.
  • Perform API testing using Postman or similar tools and investigate integration-related defects.
  • Track, document, and manage defects through Jira while collaborating with cross-functional teams throughout Agile sprint cycles.
  • Work closely with Business Analysts, Developers, Solution Architects, and Product Owners to clarify requirements and ensure comprehensive test coverage.
  • Support production readiness by identifying risks, resolving defects, and completing final smoke and release validation activities.
Requirements
  • 4+ years of professional experience in Salesforce quality assurance, manual testing, or a closely related QA role.
  • Strong hands-on experience with Salesforce, including Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, Agentforce, Flows and Automation, Security Model, Reports, and Dashboards.
  • Mandatory hands-on experience with Salesforce Agentforce, including AI agent testing, conversational flows, topics, actions, prompts, and response validation.
  • Solid understanding of functional, regression, integration, end-to-end, UAT, API, data validation, performance, conversational AI, and chatbot testing.
  • Experience testing AI-generated responses for accuracy, relevance, compliance, reliability, and business requirements.
  • Practical experience with API testing tools such as Postman and Salesforce Developer Console.
  • Experience using Jira for defect tracking and Agile delivery processes.
  • Familiarity with ACCELQ or Selenium for test automation is preferred.
  • Strong analytical and problem-solving abilities, with excellent attention to detail and a structured approach to identifying and documenting defects.
  • Ability to collaborate effectively with technical and business stakeholders and communicate testing findings clearly.
Benefits
  • Contract-based opportunity with a remote work model.
  • Opportunity to work on Salesforce and Agentforce implementations involving conversational AI and automation.
  • Exposure to Salesforce Clouds, Data Cloud, third-party integrations, and AI-powered business workflows.
  • Collaboration with cross-functional teams including developers, solution architects, business analysts, and product owners.
  • Opportunity to contribute to quality, reliability, and production readiness across innovative Salesforce solutions.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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