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Remote Remote Learning Development Jobs in Leander, TX

YO AI Labs

AI/ML Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... fixing, feature development, refactoring, and performance optimization . * Build deterministic ...

The Butler Agency

Remote Sales

Austin, TX · Remote

Remote Opportunity** The Butler Agency is growing and seeking Client Services Representatives to ... Continue learning through ongoing coaching. Qualifications * Customer service experience is helpful ...

YO AI Labs

SWE AI Training Data Expert - Remote

Austin, TX · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... fixing, feature development, refactoring, and performance optimization . * Build deterministic ...

YO AI Labs

CUDA Developer - Remote

Austin, TX · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Advanced C++ development skills. * Hands-on experience with GLSL and WebGPU . * Experience using ...

YO AI Labs

GIS/geospatial Expert - Remote

Austin, TX · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced GIS / Geospatial Experts with hands-on experience in ... Evaluate AI-generated solutions for complex geospatial problems, debugging, and code development.

YO AI Labs

Criminal Lawyer - Remote

Austin, TX · Remote

$140 - $400/hr

Stay updated on relevant statutes, case law, and procedural developments. Required Skills ... Remote Collaboration * Digital Platform Adaptability * Knowledge of Current Statutes & Case Law

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How much do remote remote learning development jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote remote learning development in Leander, TX is $35.93, according to ZipRecruiter salary data. Most workers in this role earn between $24.81 and $51.92 per hour, depending on experience, location, and employer.

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AI Agent Evaluation Engineer - Remote

YO AI Labs

Austin, TX • Remote

$80 - $120/hr

Full-time

Posted 6 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.