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Remote Chatbot Tester Jobs (NOW HIRING)

Remote Job: AI (Chatbot) Engineer Schedule:Full-time Shift: Day Job Description AcisTek is seeking ... testing, cybersecurity, communications, or related technical and program functions. Prior ...

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

Remote Duration: Fulltime Must-have * NVIDIA (DGX) or equivalent high-performance-compute (HPC ... Software development lifecycle includes design, development, testing, packaging, and deployment ...

JAVA Fullstack Developer

$53.75 - $69.25/hr

Java Fullstack Developer With Ai Experience Minneapolis, MN (Remote) Long Term Contract Role ... Perform Coding and unit testing independently and assist/mentor his team members whenever required.

Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth ... Familiarity with automated testing practices. We offer: * Culture of Relentless Performance: join ...

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Remote Chatbot Tester information

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How much do remote chatbot tester jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote chatbot tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

What are Remote Chatbot Testers?

Remote Chatbot Testers are professionals who evaluate and test chatbots from a remote location to ensure they function correctly and provide accurate, helpful responses to users. Their job involves interacting with chatbots, identifying bugs or issues, and providing feedback to improve the chatbot's performance and user experience. They may also create test cases, document errors, and collaborate with developers or AI teams. This role is often flexible and can be done from home, making it an attractive option for tech-savvy individuals interested in quality assurance and artificial intelligence.

What are the key skills and qualifications needed to thrive as a Remote Chatbot Tester, and why are they important?

To thrive as a Remote Chatbot Tester, you need a strong understanding of software testing principles, attention to detail, and familiarity with chatbot platforms, often supported by experience in QA or a related field. Knowledge of bug tracking systems, chatbot testing tools, and basic scripting or automation skills are typically utilized in this role. Excellent written communication, analytical thinking, and problem-solving abilities help testers effectively evaluate user interactions and report issues. These skills ensure chatbots deliver accurate, user-friendly experiences and function reliably across multiple scenarios.

What is the difference between Remote Chatbot Tester vs Remote Content Moderator?

AspectRemote Chatbot TesterRemote Content Moderator
Required CredentialsBasic computer skills, sometimes familiarity with AI or NLP toolsModeration experience, understanding of community guidelines
Work EnvironmentRemote, often flexible hours, testing AI chat systemsRemote, monitoring and reviewing user-generated content
Employer & Industry UsageTech companies, AI development firmsSocial media platforms, online communities, content platforms
Search & Comparison IntentYesYes

Remote Chatbot Testers focus on evaluating AI chat systems for accuracy and functionality, while Remote Content Moderators review user content to ensure compliance with guidelines. Both roles are remote, require basic tech skills, and are common in tech and online platforms. The main difference lies in their focus: testing AI interactions versus monitoring user-generated content.

What are some common challenges faced by Remote Chatbot Testers, and how can they be addressed?

Remote Chatbot Testers often encounter challenges such as understanding the nuances of natural language processing and identifying subtle conversational errors in chatbots. Additionally, working remotely may require strong self-motivation and effective communication with development teams to report bugs and suggest improvements. Staying organized through detailed documentation and using collaborative tools helps testers communicate findings efficiently. Regularly updating knowledge of chatbot technologies and participating in team meetings can also enhance performance and integration with the wider project team.
More about Remote Chatbot Tester jobs
What cities are hiring for Remote Chatbot Tester jobs? Cities with the most Remote Chatbot Tester job openings:
What are the most commonly searched types of Chatbot Tester jobs? The most popular types of Chatbot Tester jobs are:
What states have the most Remote Chatbot Tester jobs? States with the most job openings for Remote Chatbot Tester jobs include:
What job categories do people searching Remote Chatbot Tester jobs look for? The top searched job categories for Remote Chatbot Tester jobs are:
Infographic showing various Remote Chatbot Tester job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 19% Full Time, 75% Part Time, 2% Temporary, and 1% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.

AI (Chatbot) Engineer

Hathiant

Herndon, VA • Remote

Other

Posted 15 days ago


Job description

Salary: 115,000

AI (Chatbot) Engineer


Location: Remote
Job: AI (Chatbot) Engineer
Schedule:Full-time
Shift: Day Job

JOB DESCRIPTION

Description

AcisTek is seeking qualified professionals to support the Grants.gov Information Technology Services program for the U.S. Department of Health and Human Services, Office of Grants, Division of Information and Solutions. Grants.gov is a highly visible, public-facing federal shared service that provides a centralized platform for applicants to find and apply for federal discretionary grant opportunities and for federal agencies to post, manage, and process grant application packages.


The selected candidate will support the operation, maintenance, enhancement, modernization, security, performance, and user experience of the Grants.gov system. This work supports a mission-critical federal platform used by applicants, grantors, federal agencies, and partner systems across the grants lifecycle. Candidates should be comfortable working in a structured federal IT environment with strong emphasis on service continuity, stakeholder responsiveness, documentation, quality, security, accessibility, and disciplined delivery.

Ideal candidates will bring experience supporting federal IT programs, public-facing web applications, grants management systems, cloud-hosted environments, Agile/SDLC delivery, system operations, application support, testing, cybersecurity, communications, or related technical and program functions. Prior experience with Grants.gov, federal grants systems, HHS, government shared services, or high-volume public-sector platforms is strongly preferred. Preferred Grants.gov / Federal Grants Experience


Preferred experience includes one or more of the following:

  • Grants.gov, GrantSolutions, or other federal grants management platforms.
  • Federal discretionary grants lifecycle, including funding opportunity posting, application package creation, applicant submission, agency download, forms, validations, and acknowledgements.
  • Public-facing government websites or shared service platforms with large user communities.
  • System-to-system interfaces supporting applicant systems, grantor systems, partner systems, or external federal integrations.
  • Federal forms development, Adobe/XDP/PDF forms, XML schemas, web forms, form validation, and Section 508 accessibility.
  • HHS, OMB, GAO, OIG, congressional data calls, federal stakeholder reporting, or executive-level federal communications.
  • Federal cloud, ATO, POA&M remediation, vulnerability management, disaster recovery, and operational continuity.


Responsibilities include but are not limited to:

  • Design conversational flows that allow chatbots to respond accurately to user queries and maintain context throughout interactions
  • Develop and fine-tune AI models using Natural Language Processing (NLP) and Machine Learning (ML) to interpret complex technical language and provide relevant solutions
  • Integrate chatbots with engineering tools and APIs, enabling automation of tasks such as code generation, debugging, simulations, or design workflows
  • Test and iterate chatbot performance to ensure reliability, accuracy, and user satisfaction
  • Maintain and update chatbots to adapt to new engineering standards, software updates, or user requirements


Education and Experience:

  • Conversational design, intent taxonomy, content updates, missedintent analysis, link integrity, performance tuning
  • Publish monthly performance reports; maintain chatbot within the platforms availability/performance standards
  • Degree in information technology, computer science, or related preferred.
  • 5 years or more of related experience required.


Physical Requirements:


  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times