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Remote Ai Chatbot Trainer Jobs in Decatur, GA (NOW HIRING)

AI Trainer - Remote

Atlanta, GA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

AI Technical Trainer - Remote

Atlanta, GA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Personal Trainer - Remote

Atlanta, GA ยท Remote

$25 - $40/hr

Personal Trainer Role Type: Contractor Location: Remote Job Overview We are seeking experienced ... No prior AI experience is required--your fitness expertise and professional judgment are what ...

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ...

AI Engineer - Remote

Atlanta, GA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Overview We are seeking Dutch Bilingual Experts to contribute to a global language and AI training project focused on improving Dutch-language understanding and generation. In this role ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

AI Software Engineer - Remote

Atlanta, GA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

AI/ML Engineer - Remote

Atlanta, GA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

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Remote Ai Chatbot Trainer information

See Decatur, GA salary details

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How much do remote ai chatbot trainer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for remote ai chatbot trainer in Decatur, GA is $30.50, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $34.71 per hour, depending on experience, location, and employer.

How do remote AI chatbot trainers typically collaborate with development teams to improve chatbot performance?

Remote AI Chatbot Trainers often work closely with software developers, data scientists, and product managers to enhance chatbot accuracy and user experience. They provide valuable feedback on chatbot conversations, flagging misinterpretations or outdated responses, and suggest improvements based on real user interactions. Collaboration is usually facilitated through regular virtual meetings, shared documentation, and feedback tools, ensuring that training data and user insights are effectively integrated into chatbot updates. This teamwork is essential for maintaining a high-quality, adaptable AI product.

What are the key skills and qualifications needed to thrive as a remote AI chatbot trainer, and why are they important?

To thrive as a Remote AI Chatbot Trainer, you need a strong background in language, analytical thinking, and familiarity with AI or machine learning concepts, often supported by a degree in linguistics, computer science, or related fields. Experience with annotation tools, chatbot platforms, and data labeling systems is highly valuable, and some roles may prefer certifications in AI or natural language processing. Attention to detail, clear written communication, and adaptability are crucial soft skills for efficiently training AI models and collaborating with remote teams. These abilities ensure high-quality chatbot performance, effective problem-solving, and continuous improvement in conversational AI systems.

What is the difference between Remote Ai Chatbot Trainer vs Remote Customer Support Specialist?

AspectRemote Ai Chatbot TrainerRemote Customer Support Specialist
CredentialsBasic technical skills, understanding of AI and NLP conceptsCustomer service experience, communication skills
Work EnvironmentRemote, often collaborative with AI development teamsRemote or on-site, interacting directly with customers
Employer & IndustryTech companies, AI startups, chatbot development firmsRetail, telecom, e-commerce, and service industries
Search & Comparison IntentUnderstanding AI training roles, technical skills requiredCustomer service roles, communication skills, support tasks

The Remote Ai Chatbot Trainer focuses on training AI models by providing data and feedback, often requiring technical knowledge of AI and NLP. In contrast, the Remote Customer Support Specialist handles direct customer interactions, emphasizing communication and problem-solving skills. While both roles can be remote and involve customer interaction, their core responsibilities and skill sets differ significantly.

What job categories do people searching Remote Ai Chatbot Trainer jobs in Decatur, GA look for?

The top searched job categories for Remote Ai Chatbot Trainer jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Remote Ai Chatbot Trainer jobs?

Cities near Decatur, GA with the most Remote Ai Chatbot Trainer job openings:

AI Trainer - Remote

Atlanta, GA โ€ข Remote

$80 - $120/hr

Full-time

Posted 14 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.