Software Engineer

AmTrust Insurance Agency, Inc. is a Computer Software company located in 1801E 9th St, Cleveland, Ohio, United States.

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.

Seeking Java-focused software engineers with infrastructure expertise to assist in AI model training and evaluation.

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.Benefits:<ul><li> Company-sponsored benefits such as health insurance and PTO do not apply.</li></ul>

AmTrust Insurance Agency

Software Engineer Seeking Java-focused software engineers with infrastructure expertise to assist in AI model training and evaluation. 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. Software Engineer Engineer AmTrust Insurance Agency insurance financial-services risk-management commercial-services computer-software-products computer-software finance information-technology insurance-carriers services

The role involves challenging AI models on Java-based infrastructure scenarios, verifying architectural decisions, and providing feedback to improve AI reasoning about large-scale systems. Candidates should have experience with enterprise Java, cloud infrastructure, and system design.

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.

Seeking a software engineer with infrastructure expertise to evaluate and improve AI models on complex systems.

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.Requirements:<ul><li> Deep infrastructure expertise and systems-level mindset</li><li> Fluency in JavaScript, TypeScript, and Python</li><li> Experience in cloud platforms, infrastructure engineering, platform or DevOps roles, performance analysis, or QA practices</li><li> Ability to verify architectural soundness and logical correctness</li><li> Strong technical communication skills</li><li> Ability to articulate system-level reasoning and tradeoffs</li></ul>Benefits:<ul><li> High hourly pay rate of $80 to $150 per hour</li><li> Flexible work as a contractor</li><li> Remote work environment</li></ul>

Software Engineer Seeking a software engineer with infrastructure expertise to evaluate and improve AI models on complex systems. 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. Software Engineer Engineer AmTrust Insurance Agency insurance financial-services risk-management commercial-services computer-software-products computer-software finance information-technology insurance-carriers services JavaScript TypeScript Python

The role involves challenging language models on infrastructure scenarios, verifying architectural correctness, analyzing performance, and suggesting improvements. Candidates should have experience in cloud platforms, infrastructure, DevOps, or QA practices.

Find Your Dream Remote Job

Filters

Visa Sponsorship