Meridial · Software & coding
SWE Infrastructure Specialist (JS/TS/Python)
Listed on Meridial as “SWE Infrastructure Specialist (JS/TS/Python) - Freelance AI Trainer Project”
How this rate compares
This listing
$80–$150 per hour
Typical in Software & coding
$45–$80 per hour
Within the typical range
Typical: the middle of the lowest and highest rates posted by 145 listings in this category on MantaWork, in US dollars.
What this actually is
You review AI-generated code, rank model outputs against each other, write prompts that test edge cases, and provide expert feedback that gets used to train coding models. Not shipping production software. The platform title (SWE Infrastructure Specialist (JS/TS/Python) - Freelance AI Trainer Project) reflects the rate band and the expertise required, not the day-to-day work.
Original posting from Meridial
Work location: Remote, open worldwide
Pay: $80 to $150 an hour, as the posting states it. Meridial sets the rate after reviewing your experience and location.
Are you a software engineer with deep infrastructure expertise and a systems-level mindset eager to shape the future of AI? Large-scale language models are increasingly responsible for reasoning about real-world systems, cloud architectures, and performance-critical infrastructure. With high-quality expert training data, tomorrow’s AI can better design, evaluate, and operate complex software systems at scale. That training data begins with you.
We’re looking for SWE Infrastructure Specialists fluent in JavaScript, TypeScript, and Python who specialize in systems thinking, software and infrastructure architecture, performance optimization, and quality engineering. You’ll challenge advanced language models on realistic infrastructure and platform scenarios involving cloud design, Infrastructure-as-Code abstractions, deployment workflows, scalability constraints, and failure modes. This work focuses on evaluating how models reason about architectural tradeoffs, abstraction layers, environment isolation, state management, and reliability across distributed systems.
On a typical day, you will converse with the model on infrastructure and platform engineering tasks using JavaScript, TypeScript, and Python, verify architectural soundness and logical correctness, assess code quality and testing strategies, analyze performance bottlenecks and deployment risks, capture reproducible failure cases, and suggest improvements to prompt design and evaluation metrics to strengthen model reasoning.
A bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical field is ideal. Real-world experience in cloud platforms, infrastructure engineering, platform or DevOps roles, performance analysis, or QA practices strongly signals fit. Clear technical communication and the ability to clearly articulate system-level reasoning and tradeoffs are essential.
Ready to turn your engineering expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
We offer a pay range of $80-to-$150 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 high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.
Job title: SWE Infrastructure Specialist (JS/TS/Python) - Freelance AI Trainer Project
Employment type: Contract
Workplace type: Remote
Quoted from Meridial's public listing on 2026-11-15. We don't edit platform copy; honest framing is in the title and the “what this actually is” block above.
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