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Entry Level Chatbot Train Ai Jobs (NOW HIRING)

LiveRamp

AI/Automation Engineer (Intern)

Seattle, WA

$30/hr

Build copilot/chatbot experiences in tools such as ChatGPT, Claude, Gemini and Glean * Support the ... hire, train, and grow our global team across nine countries and four continents. Click here to ...

LiveRamp

AI/Automation Engineer (Intern)

San Francisco, CA · On-site

$22 - $30/hr

Build copilot/chatbot experiences in tools such as ChatGPT, Claude, Gemini and Glean * Support the ... hire, train, and grow our global team across nine countries and four continents. Click here to ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Train and educate team members on effectively leveraging AI technologies Create and deliver ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Train and educate team members on effectively leveraging AI technologies ● Create and deliver ...

Simulmedia

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Train and educate team members on effectively leveraging AI technologies • Create and deliver ...

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Entry Level Chatbot Train Ai information

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$24K

$104.9K

$189K

How much do entry level chatbot train ai jobs pay per year?

As of Jul 3, 2026, the average yearly pay for entry level chatbot train ai in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What are some typical daily tasks for an Entry Level Chatbot Train AI position?

As an Entry Level Chatbot Train AI, your daily tasks usually involve reviewing and labeling chat conversations, identifying patterns in user queries, and providing feedback to improve the AI's language understanding. You may also help create or refine conversation scripts, test chatbot responses for accuracy, and document any issues you encounter. Collaboration with data scientists and engineers is common to ensure your insights help advance the chatbot's performance. This role is structured, detail-oriented, and offers the opportunity to learn about AI development from the ground up.

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

To thrive as an Entry Level Chatbot AI Trainer, you typically need strong written communication skills, attention to detail, and a basic understanding of language processing, often supported by a bachelor's degree in a related field. Familiarity with annotation tools, content management systems, and sometimes basic programming or data labeling platforms is commonly required. Adaptability, problem-solving, and collaborative teamwork are valuable soft skills that help you excel in training AI models. These skills ensure that chatbot responses are accurate, contextually appropriate, and continuously improving for better user experiences.

What is the difference between Entry Level Chatbot Train Ai vs Data Annotator?

AspectEntry Level Chatbot Train AiData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsHigh school diploma or equivalent; attention to detail essential
Work EnvironmentRemote or office-based; involves working with AI systems and softwarePrimarily remote or office-based; involves reviewing and labeling data
Industry UsageAI development, customer service automationData management, machine learning training
Common Search/ComparisonYesNo

Entry Level Chatbot Train Ai roles focus on training AI chatbots by providing conversational data, while Data Annotators label and categorize data for machine learning. Both roles require attention to detail and are essential in AI development, but they differ in specific tasks and focus areas.

What does an entry level chatbot AI trainer do?

An entry level chatbot AI trainer is responsible for teaching and improving artificial intelligence systems that power chatbots. Their daily tasks typically include reviewing chatbot conversations, labeling data, correcting errors, and providing feedback to help the AI understand language better. They work with teams of engineers and data scientists to ensure the chatbot can respond accurately and naturally to user questions. This role often requires attention to detail, good communication skills, and sometimes basic knowledge of programming or data annotation tools.
More about Entry Level Chatbot Train Ai jobs
What cities are hiring for Entry Level Chatbot Train Ai jobs? Cities with the most Entry Level Chatbot Train Ai job openings:
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Entry Level Chatbot Train Ai jobs near you
Infographic showing various Entry Level Chatbot Train Ai job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.
On-Call AI Solutions Specialist - REMOTE

On-Call AI Solutions Specialist - REMOTE

ICF International, Inc.

Remote

Part-time

Posted 19 days ago

Job description

ICF is seeking a technically skilled On-Call AI Solutions Specialist to for Child Welfare Information Gateway, a service of the Children's Bureau (CB), Administration for Children and Families (ACF), US Department of Health and Human Services (DHHS) that centralizes resources for the nation's child welfare, adoption, and foster care professionals, along with the public.
The AI Solutions Specialist will lead the development, testing, and deployment of customized large language models (LLMs) within the AWS ecosystem. This role focuses on prompt engineering, model optimization, and embedding AI capabilities into applications using AWS-native tools and services, with a strong emphasis on data transformation and automation. This role maximizes use of website performance metrics and search engine optimization strategies to continuously improve outputs. This position is part-time, up to 30 hours per week.
This is an On-Call/As Needed position.
Key Responsibilities
  • Design, test, and refine prompts to optimize LLM outputs for accuracy, relevance, and tone across diverse use cases.
  • Train and fine-tune LLMs using proprietary datasets and prompt engineering techniques.
  • Embed AI prompts into applications and software to automate complex or repetitive tasks.
  • Monitor performance data to optimize outputs and fine tune strategies. Support the integration of AI-powered chatbots into team workflows and enterprise platforms.
  • Monitor AI system performance, analyze output quality, and iterate based on feedback and metrics.
  • Measure SEO and adjust strategies to improve performance on key terms.
  • Collaborate with domain subject matter experts, product, engineering, and UX teams to align AI behavior with user expectations and business goals.
  • Maintain documentation of prompt libraries, model behaviors, and integration strategies.

Basic Qualifications
  • Bachelor's degree in Computer Science, AI/ML, Computational Linguistics, or related field.
  • 2+ years of experience in prompt engineering, LLM fine-tuning, or NLP model development.

Preferred Skills/Experience
  • Master's degree in Computer Science, AI/ML, Computational Linguistics, or related field
  • Experience with Retrieval-Augmented Generation (RAG) using Amazon Kendra or OpenSearch.
  • Familiarity with vector databases and embedding models hosted on AWS.
  • Knowledge of IAM roles, security best practices, and cost optimization in AWS environments.
  • Experience integrating AI into CI/CD pipelines using AWS CodePipeline or CodeBuild.
  • Demonstrated experience (1-3 years) providing technical assistance to federal partners.
  • Hands-on experience with Amazon SageMaker, Amazon Bedrock, and AWS Glue.
  • Proficiency in Python and experience with AI/ML libraries.
  • Familiarity with deploying serverless applications using AWS Lambda and Step Functions.
  • Experience with chatbot development using Amazon Lex or similar frameworks.
  • Strong understanding of prompt evaluation, model behavior tuning, SEO, and web performance metrics (GA4).
  • Programming skills in Python or JavaScript, with experience in AI/ML libraries.

Professional Skills
  • Team player with the ability to work collaboratively in a fast-paced environment
  • Ability to manage multiple projects simultaneously and maintain high-quality results
  • Great organization and time management skills.
  • Excellent verbal, interpersonal, and written communication skills.
  • Demonstrated, outstanding level of professionalism, including ability to exercise good judgment, discretion, tact, and diplomacy.
  • Ability to apply detailed knowledge of organizational procedures to make independent decisions
  • Strong attention to detail and ability to produce error-free work products
  • Excellent problem-solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions
  • Ability to work with all levels of internal staff, as well as outside teaming partners
  • Willingness to innovate or create new approaches to reach desired goals
  • Sound business ethics, including the protection of proprietary and confidential information

Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$67,355.00 - $114,503.00
Nationwide Remote Office (US99)

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