SWE Infrastructure Specialist (Java) – Freelance AI Trainer Project jobs in United States
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Meridial Marketplace, by Invisible · 2 weeks ago

SWE Infrastructure Specialist (Java) – Freelance AI Trainer Project

Meridial Marketplace, by Invisible is seeking a SWE Infrastructure Specialist (Java) to help shape how AI understands large-scale software systems. The role involves engaging with advanced AI models on complex infrastructure scenarios and providing structured feedback to improve model evaluation and reasoning frameworks.

Computer Software

Responsibilities

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
Provide structured feedback to improve model evaluation and reasoning frameworks

Qualification

JavaInfrastructure expertiseSystems thinkingArchitectural designPerformance engineeringQuality assuranceCloud infrastructurePlatform engineeringWritten communicationFeedback provision

Required

Fluent in Java
Deep knowledge of systems thinking
Architectural design expertise
Performance engineering skills
Quality assurance knowledge
Experience with JVM-based services
Experience with distributed systems
Experience with cloud-native deployments
Experience with enterprise-grade architectures
Strong written communication skills
Ability to clearly explain system behavior and design decisions

Preferred

Bachelor's, master's, or PhD in computer science, software engineering, or a related technical discipline
Hands-on experience with enterprise Java systems
Experience with cloud infrastructure
Experience in platform engineering
Experience in SRE- and DevOps-adjacent roles

Benefits

Health insurance
PTO

Company

Meridial Marketplace, by Invisible

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We are the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production.

Funding

Current Stage
Late Stage
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