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Flexible Software Developer Ai Trainer Jobs in Addison, TX

YO AI Labs

AI Trainer - Remote

Dallas, TX · Remote

$80 - $120/hr

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 ...

New

APCON, Inc.

Full Stack Developer - AI

Plano, TX · On-site

Develop software across the full technology stack, from user-facing applications to low-level ... Flexible spending accounts * Generous paid time off that supports employee well‑being * 401(k) ...

Vaco by Highspring

Software Developer

Plano, TX · On-site

Utilize AI-assisted development tools (such as GitHub Copilot or similar technologies) to improve ... training, licensure and certifications, office location and other geographic considerations, as ...

Vaco LLC

Software Developer

Dallas, TX · On-site

Utilize AI-assisted development tools (such as GitHub Copilot or similar technologies) to improve ... training, licensure and certifications, office location and other geographic considerations, as ...

New

YO AI Labs

AI Software Engineer - 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

THOMSON REUTERS

Lead Software Engineer, AI

Frisco, TX · Hybrid

Lead Software Engineer, AI Are you passionate about building AI-driven software that transforms how ... We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the ...

YO AI Labs

AI/ML Software Engineer - 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

TEKsystems

Software Developer

Dallas, TX · Hybrid

$45 - $70/hr

Unlike a traditional software engineer, a FDE owns business problems from discovery through ... and AI-powered workflows. This is a high-autonomy role where ambiguity is expected, priorities ...

THOMSON REUTERS

Senior Software Engineer, AI

Frisco, TX

$114K - $151K/yr

As a Senior Software Engineer, AI, you will play a hands-on role in full-stack web development ... We've adopted a flexible hybrid working environment for our office-based roles while delivering a ...

YO AI Labs

AI Technical Trainer - Remote

Dallas, TX · Remote

$80 - $120/hr

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 ...

New

TDIndustries

Software Developer

Dallas, TX · On-site

... AI-assisted development practices and creates related training and documentation materials ... Works with software such as Azure DevOps, GitHub, Office 365, and agile project management tools.

TDIndustries

Software Developer

Dallas, TX · On-site

... AI-assisted development practices and creates related training and documentation materials ... Works with software such as Azure DevOps, GitHub, Office 365, and agile project management tools.

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Flexible Software Developer Ai Trainer information

See Addison, TX salary details

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How much do flexible software developer ai trainer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for flexible software developer ai trainer in Addison, TX is $30.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $34.42 per hour, depending on experience, location, and employer.

What is a flexible software developer AI trainer?

A Flexible Software Developer AI Trainer is a professional who works on training artificial intelligence (AI) systems by providing high-quality data, feedback, and guidance, often on a flexible or part-time schedule. This role typically involves tasks such as evaluating AI-generated code, annotating datasets, or reviewing language model outputs to improve accuracy and performance. The 'flexible' aspect means that work hours and locations are adaptable to the trainer's needs, making it ideal for those seeking remote or non-traditional work arrangements. This job is essential for advancing AI technologies and ensuring their outputs meet user expectations.

What are the key skills and qualifications needed to thrive as a flexible software developer AI trainer, and why are they important?

To thrive as a Flexible Software Developer AI Trainer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and experience in software development, often with a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and prompt engineering tools is typically required. Excellent communication, adaptability, and problem-solving skills help you effectively train, evaluate, and improve AI models. These competencies are vital for ensuring high-quality AI training data and optimal model performance in a rapidly evolving tech environment.

What types of collaboration can a flexible software developer AI trainer expect when working on projects?

As a Flexible Software Developer AI Trainer, you will frequently collaborate with data scientists, product managers, and other software engineers to design, implement, and refine AI models and training datasets. Regular communication is key, as you'll need to provide feedback on model performance, clarify requirements, and sometimes help shape project goals. This role often involves remote teamwork, using agile methodologies and a variety of communication tools to coordinate effectively. Being proactive and adaptable will help you navigate shifting project priorities and contribute to successful outcomes.

What is the difference between Flexible Software Developer Ai Trainer vs Data Scientist?

AspectFlexible Software Developer Ai TrainerData Scientist
Required CredentialsBachelor's in CS or related field, AI/ML certifications often preferredBachelor's or higher in CS, Statistics, or related field, often with advanced degrees
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, consulting, often remote or hybrid
Employer & Industry UsageAI development, software firms, startupsData analysis, predictive modeling, research projects

While both roles involve working with data and AI, a Flexible Software Developer Ai Trainer primarily focuses on developing and training AI models through coding and software engineering. In contrast, a Data Scientist emphasizes analyzing data, building statistical models, and deriving insights. The roles overlap in skills like programming and understanding AI, but their core responsibilities differ based on their focus areas.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Addison, TX?

The most popular types of Software Developer Ai Trainer jobs in Addison, TX are:

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For Flexible Software Developer Ai Trainer jobs in Addison, TX, the most frequently searched job titles are:

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The top searched job categories for Flexible Software Developer Ai Trainer jobs in Addison, TX are:

What cities near Addison, TX are hiring for Flexible Software Developer Ai Trainer jobs?

Cities near Addison, TX with the most Flexible Software Developer Ai Trainer job openings:

Flexible Software Developer Ai Trainer jobs near you
Infographic showing various Flexible Software Developer Ai Trainer job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $62,908 per year, or $30.2 per hour.

AI Trainer - Remote

YO AI Labs

Dallas, TX • Remote

$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.