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SWE Infrastructure Specialist (JS/TS/Python) – Freelance AI Trainer Project

Role overview

Qualifications

  • Bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical field
  • Real-world experience in cloud platforms
  • Infrastructure engineering, platform or DevOps roles, performance analysis, or QA practices
  • Clear technical communication skills

Responsibilities

  • 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

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 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

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Marcus Rivera

Chief Revenue Officer

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