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Home Based Chatbot Train Ai Jobs (NOW HIRING)

AI Chatbot Developer Location: Pennington, NJ Fulltime position Onsite position JD: Skill: AI ... Debug, monitor, and improve chatbot performance based on real-time feedback. * Document technical ...

... Generative AI and agent-based architectures. The ideal candidate will possess deep technical ... Connect chatbot solutions with backend systems such as: * PeopleSoft * Salesforce * Knowledge ...

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... Generative AI and agent-based architectures. The ideal candidate will possess deep technical ... Connect chatbot solutions with backend systems such as: * PeopleSoft * Salesforce * Knowledge ...

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... Generative AI and agent-based architectures. The ideal candidate will possess deep technical ... Connect chatbot solutions with backend systems such as: * PeopleSoft * Salesforce * Knowledge ...

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How much do home based chatbot train ai jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for home based chatbot train ai in the United States is $15.28, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $17.79 per hour, depending on experience, location, and employer.

What is the difference between Home Based Chatbot Train Ai vs Customer Support Agent?

AspectHome Based Chatbot Train AiCustomer Support Agent
CredentialsBasic technical knowledge, training in AI toolsCustomer service certification often preferred
Work EnvironmentRemote, home-basedRemote or on-site customer service centers
Industry UsageAI development, tech companiesRetail, telecom, service industries
Job FocusTraining and refining chatbot responsesAssisting customers directly with inquiries

Home Based Chatbot Train Ai roles focus on training AI chatbots through data input and response refinement, often requiring technical skills. Customer Support Agents handle direct customer interactions, providing assistance and resolving issues. While both roles can be remote, their core functions and skill sets differ significantly.

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Junior AI/ML Engineer (Remote)

Junior AI/ML Engineer (Remote)

FocusKPI Inc.

Boston, MA • Remote

Other

Posted 25 days ago


Job description

Location: Remote (EST preferred)
Type: Paid Internship or Contract (Full-time)
Start Date: Immediate

Role Overview

We are seeking a Junior AI/ML Engineer to support the development of an enterprise AI chatbot and data intelligence system. This role will focus on building interactive AI agents that connect to enterprise databases, generate insights, and support decision-making.

The position includes hands-on work in both LLM-based chatbot/agent development and machine learning, including building prediction models and integrating them into production workflows. This is a client-facing technical role requiring strong coding ability, analytical thinking, and the ability to work in a fast-paced environment.


Key Responsibilities
  • Develop and deploy AI chatbot/agent solutions for enterprise use cases
  • Integrate LLM-based agents with structured and unstructured enterprise data
  • Connect chat interfaces to SQL/enterprise databases and internal APIs
  • Build and integrate machine learning models (prediction, classification, clustering, etc.)
  • Perform data preprocessing, feature engineering, and model evaluation
  • Integrate ML outputs into chatbot or workflow interfaces
  • Support data pipeline development and automation
  • Collaborate with internal team and occasionally clients to understand requirements
  • Document model logic, workflows, and implementation details

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
  • Strong Python programming skills
  • Hands-on experience with machine learning (regression, classification, clustering, or similar)
  • Familiarity with ML libraries such as scikit-learn, pandas, numpy, or similar
  • Experience working with databases (SQL, PostgreSQL, or similar)
  • Familiarity with LLM APIs (OpenAI, Claude, or open-source models)
  • Experience building APIs or backend services (FastAPI, Flask, or similar)
  • Strong analytical and problem-solving skills
  • Ability to work independently and communicate clearly

Preferred Qualifications
  • Graduate degree or currently pursuing MS in AI, Data Science, or related field
  • Experience with agent frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, etc.)
  • Experience deploying or integrating ML models into applications
  • Knowledge of vector databases or embeddings
  • Familiarity with AWS, GCP, or Azure
  • Prior internship or project experience building AI/ML applications

How to Apply

Please submit the following to danz@focuskpi.com:

  1. Resume
  2. GitHub or portfolio that includes at least one agentic or AI chatbot project
  3. A short written explanation (3–6 paragraphs) of one project, including:
    • What problem the agent/chatbot solves
    • Architecture and tools used (LLM, framework, database, etc.)
    • Your specific contribution
    • Challenges encountered and how you solved them

Candidates without project examples or explanation will not be considered.

Immediate start preferred.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010