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Remote Ai Chatbot Training Jobs in Texas (NOW HIRING)

YO AI Labs

AI Trainer - Remote

Austin, TX · 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 ...

New

YO AI Labs

AI Trainer - Remote

Dallas, TX · 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 ...

New

YO AI Labs

AI Trainer - Remote

Houston, TX · 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 ...

New

Fathom Management LLC

Enterprise Architect

Austin, TX · On-site +1

$130K - $150K/yr

Remote - U.S. Based Salary: $130,000-$150,000 annually, based on experience and technical interview ... GenAI / AI Chatbot architecture experience * Enterprise AI integration experience * BPMN experience

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YO AI Labs

AI Technical Trainer - Remote

Dallas, TX · 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 ...

New

YO AI Labs

AI Technical Trainer - Remote

Houston, TX · 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 ...

New

YO AI Labs

AI Technical Trainer - Remote

Austin, TX · 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 ...

New

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Remote Ai Chatbot Training information

What is the difference between Remote Ai Chatbot Training vs Remote Data Annotation Specialist?

AspectRemote Ai Chatbot TrainingRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, training data knowledgeAttention to detail, familiarity with annotation tools
Work EnvironmentRemote, collaborative with AI teamsRemote, focused on data labeling tasks
Industry UsageAI development, chatbot creationMachine learning, data preparation
Common Search IntentTraining AI chatbots remotelyAnnotating data for AI models

Remote Ai Chatbot Training involves preparing AI models by training chatbots with relevant data, while Remote Data Annotation Specialists focus on labeling data to improve AI accuracy. Both roles are remote, require attention to detail, and support AI development, but they differ in specific tasks and focus areas.

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Infographic showing various Remote Ai Chatbot Training job openings in Texas as of August 2026, with employment types broken down into 4% Internship, 65% Full Time, 10% Part Time, 17% Contract, and 4% Nights. Highlights an 100% Remote job distribution.

AI Trainer - Remote

Austin, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted yesterday

New

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.