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Entry Level Conversational Ai Jobs (NOW HIRING)

Regal

AI Product Specialist

New York, NY

We view this role as a jumping off point for entry-level talent looking to start their careers in ... Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt ...

Atlas Energy Solutions

AI Developer

Austin, TX · On-site

... entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities * AI-powered features and applications such as conversational ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

... entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities * AI-powered features and applications such as conversational ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

... entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities * AI-powered features and applications such as conversational ...

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All JobsEntry Level Conversational Ai Jobs

Entry Level Conversational Ai information

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How much do entry level conversational ai jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for entry level conversational ai in the United States is $26.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.08 per hour, depending on experience, location, and employer.

What is an entry level conversational AI job?

An entry level conversational AI job typically involves tasks related to building, testing, and maintaining chatbots or virtual assistants that interact with users through natural language. People in these roles may help design conversation flows, train AI models, annotate data, or troubleshoot issues with AI-driven products. These positions usually require some familiarity with programming, linguistics, or artificial intelligence concepts, but are suitable for those early in their careers or transitioning into the field. Entry level conversational AI roles can be found in technology companies, customer service organizations, and startups focused on automation or digital communication.

Can I get an AI job with no experience?

Entry level conversational AI roles often do not require prior experience, but candidates typically need a basic understanding of programming, natural language processing, or machine learning concepts. Gaining relevant skills through online courses, certifications, or internships can improve chances of securing such positions. Employers may also value strong problem-solving abilities and a willingness to learn on the job.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These positions usually involve developing complex AI models, managing teams, and contributing to strategic AI initiatives within organizations. Compensation at this level reflects the expertise, impact, and value brought to the company.

What are some typical challenges faced by entry-level professionals working with conversational AI, and how can they overcome them?

Entry-level professionals in conversational AI often encounter challenges such as understanding nuanced user intent, dealing with ambiguous or unexpected queries, and ensuring the chatbot provides accurate and helpful responses. They may also need to collaborate closely with data scientists, linguists, and software engineers to refine natural language processing models and enhance conversational flows. To overcome these challenges, it's helpful to continuously review user interactions, leverage feedback for iterative improvements, and actively participate in cross-functional team discussions to learn best practices and stay updated on evolving technologies.

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

To thrive as an Entry Level Conversational AI Specialist, you need basic programming skills (often in Python), familiarity with natural language processing (NLP) concepts, and a relevant degree or coursework in computer science or linguistics. Experience with chatbot frameworks (like Dialogflow or Rasa), APIs, and cloud platforms is commonly expected. Strong problem-solving abilities, curiosity, and effective communication are important soft skills that set candidates apart. These competencies are crucial for building effective conversational agents and collaborating with cross-functional teams to optimize AI-driven user experiences.

What is the difference between Entry Level Conversational Ai vs Entry Level Chatbot Developer?

AspectEntry Level Conversational AiEntry Level Chatbot Developer
Required SkillsBasic understanding of AI, NLP, and machine learning conceptsProgramming skills (Python, JavaScript), chatbot frameworks, API integration
Work EnvironmentAI development teams, tech companies, startupsSoftware development teams, tech firms, customer service platforms
CertificationsAI/NLP certifications, online coursesProgramming certifications, software development courses
Industry UsageDesigning conversational AI systems and virtual assistantsBuilding and maintaining chatbots for various platforms

While both roles involve working with conversational technologies, Entry Level Conversational Ai focuses on designing AI-driven conversational systems using NLP and machine learning, whereas Entry Level Chatbot Developer emphasizes coding and developing functional chatbots using programming skills and frameworks. Both roles are essential in the AI and software development industries but differ in technical focus and skill requirements.

What entry-level jobs are there working with AI?

Entry-level jobs working with AI include roles such as AI support technician, data annotation or labeling specialist, and junior AI developer. These positions often require basic programming skills, familiarity with machine learning tools, and attention to detail, providing opportunities to gain experience in AI development and deployment.

What is the most entry-level AI job?

An entry-level AI job often involves roles such as AI intern, data annotation, or junior AI developer, focusing on tasks like data labeling, basic programming, or assisting with AI model training. These positions typically require foundational skills in programming, understanding of machine learning concepts, and familiarity with tools like Python or TensorFlow.
More about Entry Level Conversational Ai jobs
What cities are hiring for Entry Level Conversational Ai jobs? Cities with the most Entry Level Conversational Ai job openings:
What are the most commonly searched types of Conversational Ai jobs? The most popular types of Conversational Ai jobs are:
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Entry Level Conversational Ai jobs near you
Infographic showing various Entry Level Conversational Ai job openings in the United States as of June 2026, with employment types broken down into 15% Full Time, 15% Part Time, and 70% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $55,594 per year, or $26.7 per hour.
AI Product Specialist

AI Product Specialist

Regal

New York, NY

Full-time

Posted 11 days ago

Job description

ABOUT US:
Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always-available, and ready to take action. Power better support, sales and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene helped build Angi (Angie’s List, HomeAdvisor and Handy) to over $1.5B in revenue.

Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew and Emergence Capital.

Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings!

ABOUT THE ROLE:
We believe that ten years from now, 90% of businesses interactions with their customers will be handled by autonomous AI Agents. This role is at the forefront of defining those AI Agents that all of us will speak to.
 
The AI Agent Product Specialist role starts with two weeks of intensive training where you will learn to build AI Agents using the Regal AI Agent Platform. Get up to speed on our prompting best practices, function building, and the Regal Operating System. From then on, you’re writing the script. We view this role as a jumping off point for entry-level talent looking to start their careers in the exploding field of AI. After 1-2 years in this role, you will be prepared to take on more senior roles at Regal in engineering, product management or customer success.
 
AI Product Specialists at Regal own the creation and refinement of voice prompts, and conversation flows of AI Agents. You’ll blend prompt engineering techniques with user-focused product sense to deliver natural, brand-aligned interactions that meet business objectives. You’ll become an expert at the different settings/toggles/techniques that STT providers, TTS providers and LLMs expose to tune the performance of AI Agents. And with new use cases, you’ll pioneer new prompt engineering techniques, build new functions and deliver product feedback to the Regal product and engineering teams on new feature sets to enhance AI Agent performance. Finally, you’ll own Quality Control and testing of AI Agents to ensure they meet quality standards.
RESPONSIBILITIES:
  • Understand customer requirements: Work with AI Forward Deployed engineers to understand customer use cases, requirements for AI agents and their business objectives. Review customer’s existing human agent call recordings, scripts, training documents, FAQs/knowledge bases and brand guidelines to inform their AI Agent.
  • Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal’s signature and that meets customer’s requirements and business objectives. 
  • Build Custom Functions/Tooling: Understand the limitations of LLMs and where code is needed to achieve certain use cases/performance. Use your coding chops to build custom functions that allow your AI Agents to take actions such as validate zip code, schedule callback, update profile.
  • QA Test: Develop test cases and thoroughly test your AI Agents to ensure they pass Regal and the customer’s quality bar. Develop tooling, where needed, to scale QA testing and deliverables to build customers’ confidence in AI Agents so they don’t have to put QA hours against it
  • Iterate & Learn: Review agent performance in partnership with AI Forward Deployed Engineer who owns the client relationship. Iterate the AI Agent based on customer success criteria
  • Codify Best Practices: Leverage, share, and document best practices for building AI Agents and achieving certain use cases. Participate in prompt engineering forums and research best practices to add to our own techniques. Document what we’ve learned in a digestible way for internal and external consumption
  • Deliver Product Feedback: Work closely with Regal PMs and Engineers to give feedback on the Regal AI Agent Platform. As the primary user of the product, you’ll spot issues, product gaps, and new capabilities that will help you deliver better performing AI Agents faster – help inform these features!
  • Support Sales Demos: Work with the sales team to build AI Agent MVPs during the sales process to demo agent capabilities to prospects
ABOUT YOU:
  • Technical Chops: You’ve received a Bachelor’s or Master’s degree in a technical field (i.e. Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering.
  • Professional Work Experience: You have 1-2 year(s) of work or internship experience at start-up tech companies, or impressive personal/school projects that you can provide documentation for.
  • Demonstrated Curiosity for AI & Voice: You’re excited about the potential of Voice AI, and keep up with the latest products in the space. You’ve experimented with conversational design or prompt engineering for a school, work or personal project. 
  • Analytical Thinking & Problem Solving: You see beyond the immediate ask, being able to break down problems into their component parts and tackle them iteratively. The ideal candidate likes to tinker and try new approaches, borrowing ideas from others and building from their own previous experiences
  • Time Management Skills: You know how to prioritize among competing tasks (or ask for help when needed), manage deadlines, and proactively keep your team & other stakeholders in the loop.
  • Relentless Ownership: You own accountability for the success of your work, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time. “Not my problem” isn’t in your vocabulary.
  • Entrepreneurial DNA: You’re considering being a founder one day. You thrive in fast-paced, ambiguous environments and absorb everything. Adaptability and growth mindset are qualities that help you navigate change and complexity with ease.
AI Product Specialist vs. AI Forward Deployed Engineer - What's the Difference?
  • The AI Product Specialist is more internal-facing, part of a centralized team using the Regal AI Agent Platform to build and test AI agents, codifying best practices and processes for AI Agent development and QA testing, and giving feedback to our product and engineering teams on how the platform needs to evolve (as well as building demos for the sales and marketing teams and working on internal projects). AI Product Specialists have a technical degree, but only 0-2 years of previous experience. 
  • The AI Forward Deployed Engineer is more customer-facing, owning the launch and overall success of each AI Agent deployment and customer relationship, ensuring AI Agents can successfully integrate into the customer’s existing systems and workflows and achieve their business goals (as well as growing revenue by identifying more use cases and opportunities for AI Agents). AI Forward Deployed Engineers have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment.
BENEFITS/PERKS:
  • We care about your health! 
  • Medical, Dental, and Vision plans - 80% covered by the company
  • Flexible PTO & 11 paid holidays/year 
  • We care about future you!
  • 401k Plan
  • Paid parental leave
  • Pre-tax commuter benefits 
  • We care about connection!
  • In-office breakfast and snacks daily
  • Happy hours, team outings, & annual off-sites
  • Complete laptop workstation 
  • & more to come!
The reasonably estimated base salary for this role is provided as a range within this job description. All offers include a competitive equity package and some offers may additionally include a variable compensation component. Actual compensation is determined on an individualized basis taking into consideration factors such as the candidate's skills, location, qualifications, experience, and relevant education or training. In addition, Regal offers a comprehensive set of employee benefits which are listed above. Details about the compensation package will be finalized at the time of offer.

POSITION LOCATION & OFFICE DETAILS:

This position is only available in New York City (HQ- NoMad). Hybrid roles are required in office T/W/TH and encouraged 5x/week.

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.