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SWE Infrastructure Specialist (Java) – Freelance AI Trainer Project

Role overview

Qualifications

  • Bachelor’s, Master’s, or PhD in computer science, software engineering, or related technical discipline
  • Hands-on experience with enterprise Java systems
  • Knowledge of cloud infrastructure and platform engineering
  • Strong written communication skills

Responsibilities

  • Challenge AI models on infrastructure scenarios involving JVM-based services and distributed systems
  • Document model struggles regarding correctness, scalability, and operational behavior
  • Evaluate architectural decisions related to concurrency, latency, throughput, and resource utilization
  • Provide structured feedback to improve model evaluation and reasoning frameworks

About the company

Invisible Technologies Inc. logo

Invisible Technologies Inc.

Artificial Intelligence & Machine Learning Services

Invisible is the operations innovation company transforming how companies are built and run. We are a tech-enabled service providing solutions to the world’s most complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of over 6,000 experts. This powerful combination delivers new capabilities and eliminates barriers to execution for our clients, unlocking unprecedented efficiency, scale, and growth opportunities.

Company details

Company typeLarge
IndustryArtificial Intelligence & Machine Learning Services
Company size1001 - 5000

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Job description

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

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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