SWE Infrastructure Specialist (Java) – Freelance AI Trainer Project

Meridial; United States; Remote; USD 110,208 - 206,640; Part time

Benefits offered by this job

Flexible working hours

Opportunity to influence AI training

Remote work

Job summary

Meridial is seeking a SWE Infrastructure Specialist for a freelance AI Trainer project focused on Java. This remote role involves utilizing your expertise in Java and infrastructure to enhance AI models relating to software systems.

The ideal candidate should possess strong communication skills and a deep understanding of systems architecture. The position offers a competitive hourly pay range of $80-150 based on experience.

Qualifications

• Proven experience with enterprise Java systems.
• Hands-on experience with cloud infrastructure.
• Familiarity with DevOps practices.

Responsibilities

• Engage AI models on Java-centric infrastructure tasks.
• Verify architectural decisions related to performance metrics.
• Document instances where models struggle with correctness.

Skills

Java proficiency

Infrastructure expertise

Systems thinking

Architectural design

Performance engineering

Quality assurance

Strong written communication

Education

Bachelor's, Master's, or PhD in Computer Science or related field

Job description

SWE Infrastructure Specialist (Java) – Freelance AI Trainer Project

World Wide - Remote

Are you a Java-focused software engineer with strong infrastructure and systems expertise eager to help shape how AI understands large-scale software systems? As language models are increasingly applied to enterprise environments, their ability to reason about performance, reliability, and cloud architecture depends on high-quality expert guidance. That training data begins with experienced engineers like you.

We’re seeking SWE Infrastructure Specialists fluent in Java with deep knowledge of systems thinking, architectural design, performance engineering, and quality assurance. You’ll challenge advanced AI models on complex infrastructure scenarios involving JVM-based services, distributed systems, cloud-native deployments, and enterprise-grade architectures, while documenting where models struggle to reason about correctness, scalability, and operational behavior.

On a typical day, you will engage the model on Java-centric infrastructure and platform engineering tasks, verify architectural decisions related to concurrency, latency, throughput, and resource utilization, assess infrastructure and application‑level testing strategies, analyze deployment and reliability risks, capture reproducible failure modes, and provide structured feedback to improve model evaluation and reasoning frameworks.

A bachelor’s, master’s, or PhD in computer science, software engineering, or a related technical discipline is preferred. Hands‑on experience with enterprise Java systems, cloud infrastructure, platform engineering, or SRE‑and DevOps‑adjacent roles is highly valued. Strong written communication and the ability to clearly explain system behavior and design decisions 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 (Java) – Freelance AI Trainer Project
Employment type: Contract
Workplace type: Remote