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Full Stack Engineering Specialist - Freelance AI Trainer Project

Meridial · United States of America · Coding / software engineering

Full Stack Engineering Specialist - Freelance AI Trainer Project is an open role at Meridial, located in United States of America, with pay listed as $8–$65/hr.

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At a glance

Pay
$8–$65/hrStated by Meridial
Location
United States of America
Listed
Since Jul 19, last confirmed Oct 24

How the pay compares

This role$65
Meridial median$30
Coding roles median$75
All roles median$60

Higher than 28% of the 76 distinct hourly rates advertised for Coding roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Meridial’s listing

“Are you an experienced Full Stack Engineer eager to shape the future of AI? Large-scale language models are evolving rapidly, moving beyond simple chatbots into powerful engines of research, learning, and applied problem-solving.”
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Are you an experienced Full Stack Engineer eager to shape the future of AI? Large-scale language models are evolving rapidly, moving beyond simple chatbots into powerful engines of research, learning, and applied problem-solving. With high-quality training data, tomorrow’s AI can provide more accurate, practical, and innovative solutions across industries. That training data begins with you—your expertise will help power the next generation of AI. We’re looking for a highly skilled Full Stack Engineering specialist who can bring technical depth, coding expertise, and architectural insight to training data. You’ll work with cutting-edge AI tools, evaluate and refine code outputs, and provide expert feedback on correctness, efficiency, scalability, and best practices across the stack. On a typical day, you will review and annotate AI-generated code, assess outputs for logical and structural soundness, identify and document error patterns, and collaborate with our team to refine prompts, evaluation methods, and engineering guidelines. Proficiency in both frontend and backend technologies is required, including strong experience with languages such as JavaScript/TypeScript, Python, or Java; frameworks such as React, Node.js, or Django; and databases (SQL/NoSQL). Experience in cloud services, CI/CD pipelines, or containerization (Docker/Kubernetes) is a strong plus. Clear communication skills, problem-solving ability, and attention to detail are essential. Ready to channel your engineering expertise into building the AI tools of tomorrow? Apply today and help train the model that will support developers and organizations worldwide. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and stable internet connection; company-sponsored benefits such as health insurance and PT

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Frequently asked questions

How do I apply for the Full Stack Engineering Specialist - Freelance AI Trainer Project role at Meridial?

Applications go through Meridial's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Meridial's access model is "Apply" (Join network / apply to projects). This listing was first seen here on July 19, 2026 and was still live at the last check.

Is the Full Stack Engineering Specialist - Freelance AI Trainer Project role at Meridial remote?

This role is listed for the United States.

What does the Full Stack Engineering Specialist - Freelance AI Trainer Project role at Meridial pay?

Meridial lists this role's pay as $8–$65/hr, quoted from the listing rather than estimated.

What kind of work is Full Stack Engineering Specialist - Freelance AI Trainer Project?

Coding / software engineering. Law, STEM, finance, coding, linguistics, safety and AI training

Is Meridial a legitimate AI-training platform?

Invisible-powered expert contractor network - and that relationship is rated "Confirmed" here because it can be checked against www.meridial.ai rather than taken on Meridial's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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