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DataAnnotation

$40/hr

A data annotation company in the United States is seeking a chemistry professional to train AI models by providing complex chemistry problems and evaluating chatbot outputs. This remote role requires ...

DataAnnotation

$50 - $60/hr

This flexible position allows for remote work with an option for full-time or part-time involvement ... Responsibilities include enhancing AI chatbot performance and evaluating its outputs against ...

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How much do remote chatbot jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for remote chatbot in the United States is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $63.46 per hour, depending on experience, location, and employer.

What is a Remote Chatbot job?

A Remote Chatbot job involves managing, programming, or supporting AI-powered chatbots to assist customers, answer questions, or automate tasks. This role can include chatbot development, training AI models, writing responses, or monitoring chatbot interactions. It often requires skills in customer service, programming, or AI, depending on the position. Remote chatbot jobs allow professionals to work from anywhere while ensuring efficient and accurate chatbot performance.

What are the key skills and qualifications needed to thrive in the Remote Chatbot position, and why are they important?

To thrive as a Remote Chatbot, you must have expertise in natural language processing, conversational AI design, and relevant programming languages such as Python, as well as a degree in computer science or a related field. Familiarity with chatbot development platforms (like Dialogflow or Microsoft Bot Framework), API integrations, and cloud-based deployment tools is often required. Strong communication, problem-solving abilities, and attention to detail help distinguish top candidates in this field. These skills enable the creation of effective, user-friendly chatbots that meet business objectives and enhance customer experience in remote work environments.

What are the typical daily responsibilities of a Remote Chatbot developer?

As a Remote Chatbot developer, your daily tasks often include designing conversational flows, writing and testing scripts, and integrating chatbots with external APIs or databases for seamless user interactions. You’ll collaborate remotely with product managers, UX designers, and sometimes customer support teams to ensure the chatbot meets user needs and business goals. Regularly reviewing chatbot analytics and updating responses based on user feedback is also common. This role typically requires proactive communication and independent work, making strong organizational skills essential for success in a remote setting.
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Remote Chatbot jobs near you
Infographic showing various Remote Chatbot job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 61% Full Time, 10% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,003 per year, or $55.8 per hour.
Junior AI/ML Engineer (Remote)

Junior AI/ML Engineer (Remote)

FocusKPI Inc.

Boston, MA • Remote

Other

Posted 15 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

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