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Entry Level Ai Chatbot Trainer Jobs (NOW HIRING)

Build real agentic AI systems--not just chatbot features * Work on technology that directly supports critical national security missions * Join a company experiencing exceptional growth and market ...

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Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

Skills and Competencies Conversational design and chatbot optimization. Knowledge architecture and content structuring. AI workflow enablement and practical team training. Strong business judgment ...

Test and verify the AI chatbot feature to help ensure it returns accurate, helpful, and relevant ... Experience writing technical, product, software, support, training, or process documentation.

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Entry Level Ai Chatbot Trainer information

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$13

$31

$63

How much do entry level ai chatbot trainer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for entry level 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.

What are the typical challenges faced by entry level AI Chatbot Trainers when improving chatbot performance?

Entry level AI Chatbot Trainers often encounter challenges such as identifying and correcting chatbot misunderstandings, ensuring responses remain accurate and contextually appropriate, and handling ambiguous or unexpected user inputs. Balancing the need for precise training data with the volume of conversations can also be difficult, as is collaborating with developers to implement training improvements. Adapting to evolving AI models and staying updated on best practices are key to overcoming these hurdles and contributing effectively to the chatbot's development.

What are the key skills and qualifications needed to thrive as an Entry Level AI Chatbot Trainer, and why are they important?

To thrive as an Entry Level AI Chatbot Trainer, you need strong language proficiency, attention to detail, and a basic understanding of AI concepts, often supported by a bachelor’s degree in a relevant field. Familiarity with annotation platforms, chatbot training tools, and basic data management systems is typically required. Excellent communication, problem-solving abilities, and adaptability help you effectively interpret and refine chatbot interactions. These skills ensure that the chatbot delivers accurate, user-friendly responses and continually improves in functionality.

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

AspectEntry Level Ai Chatbot TrainerCustomer Support Specialist
Required CredentialsHigh school diploma or equivalent; basic understanding of AI and machine learning conceptsHigh school diploma or equivalent; excellent communication skills
Work EnvironmentRemote or office-based; focuses on training AI modelsCustomer service centers, remote, or office-based; interacts directly with customers
Employer & Industry UsageTech companies, AI startups, chatbot development firmsRetail, telecom, tech companies, customer service providers

While both roles involve communication skills, Entry Level Ai Chatbot Trainers focus on training AI models by providing data and feedback, whereas Customer Support Specialists handle direct customer interactions. The training role emphasizes technical understanding of AI, while customer support emphasizes interpersonal skills.

What does an Entry Level AI Chatbot Trainer do?

An Entry Level AI Chatbot Trainer is responsible for teaching and improving artificial intelligence chatbots by providing them with relevant data, reviewing their responses, and correcting mistakes. They help train chatbots to better understand and respond to human language by labeling data, creating conversation scripts, and analyzing performance. This role often involves working closely with engineers and data scientists to ensure the chatbot meets performance standards and provides accurate, helpful responses to users.
What cities are hiring for Entry Level Ai Chatbot Trainer jobs? Cities with the most Entry Level Ai Chatbot Trainer job openings:
What are the most commonly searched types of Ai Chatbot Trainer jobs? The most popular types of Ai Chatbot Trainer jobs are:
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Infographic showing various Entry Level Ai Chatbot Trainer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 25% Temporary, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Entry Level AI Engineer

People In AI

Pittsburgh, PA • On-site

$140K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

AI Engineer, Agentic AI & LLM Systems

Compensation- Up to $140,000 base salary + 30% bonus + Equity

Location- Pittsburgh, PA (Onsite)


U.S. Citizenship required 🇺🇸


About the Company

Our client is a rapidly scaling AI software company developing mission-critical technology for the national security sector. Their platform helps government organizations make faster, more informed decisions across complex operational, logistics, supply chain, and modernization challenges using advanced data, AI, and automation.


Backed by significant recent growth investment and experiencing exceptional commercial momentum, the company is expanding its AI engineering team to help build the next generation of intelligent, agent-driven software systems.


The Opportunity

We're looking for an early-career AI Engineer to join a high-performing team building production-grade AI systems at the intersection of large language models, agentic workflows, and mission-critical decision-making.


This is an opportunity for a highly capable engineer who wants a steep learning curve, meaningful ownership, and exposure to real-world AI products deployed in high-impact environments. You'll work alongside experienced AI engineers developing intelligent agents that go far beyond chat interfaces leveraging tools, orchestrating workflows, generating outputs, and automating complex operational processes.


Whether you're a recent graduate with exceptional internships or have up to three years of industry experience, this role offers the chance to grow quickly while contributing to cutting-edge AI systems from day one.


What You'll Do

  • Build and improve AI-powered product capabilities using LLMs, agents, and modern AI frameworks
  • Develop production software that supports intelligent workflow automation and decision support
  • Contribute to agent architectures that can utilize tools, execute workflows, and generate actionable outputs
  • Design, implement, and maintain backend services and APIs
  • Collaborate closely with AI engineers, product teams, and domain experts
  • Experiment with and evaluate emerging AI technologies and agentic frameworks
  • Help scale AI systems from prototype concepts into reliable production solutions
  • Take ownership of projects and contribute across the full development lifecycle


What You'll Bring

  • Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Machine Learning, or a related field
  • Early professional experience in software engineering, machine learning, or AI
  • Strong computer science fundamentals, including algorithms, data structures, and software design
  • Strong programming skills in Python and/or modern backend technologies
  • Evidence of building real-world projects, products, research, or open-source contributions
  • Interest in LLMs, AI agents, machine learning systems, and modern AI tooling
  • Builder mentality with a strong sense of ownership and curiosity
  • Ability to thrive in fast-moving, ambiguous environments
  • Excellent communication and collaboration skills


Preferred Experience

  • Graduate degree in a technical field
  • Experience through internships at software, AI, defense technology, or data-intensive organizations
  • Research or project work involving LLMs, AI agents, machine learning, or distributed systems
  • Strong GitHub portfolio or demonstrable technical side projects
  • Familiarity with modern AI development workflows and coding assistants


Tech Stack

  • Python
  • Large Language Models (LLMs)
  • Agent Frameworks
  • AI Orchestration Tools
  • Backend Services & APIs
  • Workflow Automation Systems
  • Modern Developer Tooling & AI Coding Assistants
  • Cloud & Distributed Systems


Requirements

  • U.S. Citizenship required
  • Must be eligible and willing to obtain a security clearance (or already hold one)
  • Must be comfortable working on national security and defense-related challenges
  • Must be willing to relocate to Pittsburgh, PA and work onsite full-time


Why Join?

  • Build real agentic AI systems—not just chatbot features
  • Work on technology that directly supports critical national security missions
  • Join a company experiencing exceptional growth and market momentum
  • Receive strong compensation, quarterly bonus opportunities, and equity participation
  • Learn from a highly technical and hands-on AI engineering team
  • Gain exposure to cutting-edge AI development practices and modern engineering workflows
  • Take ownership early and accelerate your career in a high-impact environment


About People In AI

People In AI is a specialist AI and Machine Learning recruitment partner helping exceptional engineers, researchers, and technical leaders connect with some of the most exciting AI companies in the market. We work closely with innovative organizations building transformative products across AI, machine learning, data, and advanced software engineering.