TL;DR
SWE Infrastructure Specialist (AI): Training large-scale language models to reason about real-world systems, cloud architectures, and performance-critical infrastructure with an accent on evaluating how models reason about architectural tradeoffs, abstraction layers, environment isolation, and reliability across distributed systems. Focus on verifying architectural soundness, assessing code quality, analyzing performance bottlenecks, and suggesting improvements to strengthen model reasoning.
Location: Remote
Salary: $80-$150 per hour
Company
Meridial Marketplace, by hirify.global, trains AI on infrastructure and platform engineering tasks.
What you will do
- Converse with the model on infrastructure and platform engineering tasks using JavaScript, TypeScript, and Python.
- Verify architectural soundness and logical correctness of the model's reasoning.
- Assess code quality and testing strategies suggested by the model.
- Analyze performance bottlenecks and deployment risks.
- Capture reproducible failure cases.
- Suggest improvements to prompt design and evaluation metrics to strengthen model reasoning.
Requirements
- Bachelor’s, master’s, or PhD in computer science, software engineering, or a related field.
- Experience in cloud platforms, infrastructure engineering, platform or DevOps roles, performance analysis, or QA practices.
- Fluency in JavaScript, TypeScript, and Python.
- Clear technical communication and the ability to articulate system-level reasoning and tradeoffs.
Culture & Benefits
- Remote work environment.
- Opportunity to shape the future of AI.
- Work on evaluating advanced language models.
- Focus on high-quality expert training data.
- Collaborate on realistic infrastructure and platform scenarios.
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