ZipRecruiter

Log In

2

Entry Level Conversational Ai Jobs (NOW HIRING)

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 ...

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 ...

auction

Social Media Coordinator I

Irvine, CA

This entry-level role is ideal for someone who is passionate about social media marketing, digital ... Monitor social conversation, reviews, and brand sentiment across platforms; identify emerging ...

previous pagenext page

Showing results 21-40

All JobsConversational Ai JobsEntry Level Conversational Ai Jobs

Entry Level Conversational Ai information

See salary details

$14

$26

$79

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

As of Jul 25, 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:
What job categories do people searching Entry Level Conversational Ai jobs look for? The top searched job categories for Entry Level Conversational Ai jobs are:
Entry Level Conversational Ai jobs near you
Infographic showing various Entry Level Conversational Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $55,594 per year, or $26.7 per hour.
Associate AI Solutions Developer

Associate AI Solutions Developer

Bridgehead IT LLC

San Antonio, TX • On-site

Full-time

Posted 5 hours ago

Job description

Description:

The Associate AI Solutions Developer / Analyst supports the design, development, and implementation of AI-enabled software, automation, and business solutions. This hybrid role combines technical development, business analysis, and AI tool configuration, working closely with senior developers and analysts to translate business needs into practical, secure, and scalable solutions.

The role is designed for an early-career professional with strong technical fundamentals, analytical aptitude, and a demonstrated interest in artificial intelligence and emerging technologies. The Associate will contribute across the solution lifecycle—from requirements gathering and prototyping through testing, deployment, and refinement—while receiving structured training and mentorship. This position offers a defined growth path with increasing responsibility and project ownership, with the expectation of progression to a mid-level role within 12–24 months.


Training & Growth

We invest in your success with structured onboarding, personalized mentorship, an individual development plan, and continuous learning opportunities (courses, certifications, AI webinars). Your entering a rapidly growing space that will require a commitment to continuous learning and improvement to with a goal to advance to mid-level role in 12–24 months.

Requirements:

Key Responsibilities:

  • Contribute to developing AI-enhanced software and automation solutions, including GPT-powered features, Copilot Studio agents, custom developed AI solutions built on Azure such as Document intelligence.
  • Perform business and data analysis: map workflows, document processes, gather requirements, and translate them into technical specifications.
  • Configure and prototype conversational AI tools, test prompts, refine intents, grounding, and guardrails.
  • Support systems integration with enterprise tools (CRMs, SharePoint, data warehouses, Microsoft 365) using APIs, connectors, and secure methods.
  • Participate in quality assurance, testing, debugging, and AI-specific checks (prompt resilience, content moderation).
  • Create technical documentation, user guides, and contribute to internal knowledge bases.
  • Help enforce AI governance policies and verify output accuracy.
  • Collaborate with developers, analysts, and stakeholders in meetings and (as you grow) client discussions.

Qualifications:

  • Associate's degree in computer science, Information Systems, Engineering, or related field (relevant experience or bootcamp certification may substitute).
  • Proficiency in at least one programming language (JavaScript, PHP, C#, Java, etc.) and familiarity with web development or SQL.
  • Strong analytical and problem-solving skills, with comfort using spreadsheets and basic-to-intermediate SQL.
  • Excellent written and verbal communication skills; ability to explain technical concepts clearly.
  • Quick learner with genuine interest in AI/ML and its business applications.
  • Collaborative team player open to feedback and code reviews.

Preferred Qualifications:

  • Internship or academic projects in software development, data analysis, or AI.
  • Exposure to Microsoft Azure, Power Platform (especially Copilot Studio), or AI APIs.
  • Familiarity with data integration concepts or tools.
  • Entry-level certifications (e.g., AZ-900, PL-900).