AI Infrastructure Jobs

Lead the design and implementation of enterprise-scale data warehouse platforms on Databricks and Snowflake, establishing data modeling standards, governance frameworks, and scalable ingestion pipelines. Collaborate with cross-functional teams and engage with clients as a trusted advisor to drive data strategy and architecture blueprints.

This role is for a Sr. Infrastructure Security Engineer at micro1, an AI-native company building human data infrastructure for advanced AI systems. The engineer will design and evolve security foundations across multi-cloud environments, focusing on automated guardrails, zero trust architectures, and detection-as-code. The goal is to enable rapid product iteration safely, not just reduce risk.

This Java Developer contractor role focuses on applying core Java expertise to help train next-generation AI systems by designing scalable applications, collaborating with cross-functional teams, and ensuring high code quality. The work involves contributing to architectural decisions and troubleshooting complex issues, with no prior AI experience required. Successful candidates will work remotely and independently while supporting distributed teams.

This contract role involves designing and optimizing REST and GraphQL APIs while actively testing and providing feedback on AI-powered coding tools. You'll work remotely with a research team to improve AI models through intensive testing bursts and detailed reporting. Your backend development expertise in Java is key, and no prior AI experience is needed.

This role is for a Member of Technical Staff at micro1, working on Zara, an AI Recruiter model used by major AI labs. You will design, build, and scale AI systems using Python and AWS, integrate LLMs and multimodal AI, and build APIs with LangChain and FastAPI. The position is fully remote and involves cross-functional collaboration to advance recruiting technology.

This role involves applying expertise in TypeScript and Go to help train next-generation AI systems by designing, developing, and deploying high-quality software solutions. You will architect scalable APIs, microservices, and web applications while collaborating with cross-functional teams. No prior AI experience is required—domain knowledge in software engineering is what matters most.

This role involves developing and optimizing robust, scalable solutions using Python and GoLang, with a focus on leading codebase migrations between the two languages. You will collaborate with AI researchers to build and enhance AI training infrastructure, applying best practices in software engineering and automation. No prior AI experience is required—your domain expertise in software engineering is what matters. The position is fully remote and offers a contractor arrangement.

This role involves training next-generation AI systems by applying software engineering expertise. The contractor will develop and optimize AI training pipelines using Python, Go, JavaScript, and Rust, manage production builds and Dockerized environments, and collaborate with cross-functional teams to improve model learning. No prior AI experience is required—domain knowledge in engineering is key.

This role is a forward-deployed research partner embedded within enterprise AI systems. The individual works on live workflows to uncover real-world failure modes and drives rapid experimental cycles to improve system performance. They collaborate with domain experts and client teams to formalize issues, design datasets, and develop agentic workflows, focusing on robustness and scalability.

This role involves sourcing publicly available documents from government archives, academic repositories, and open datasets to train next-generation AI systems. The specialist verifies license types, logs metadata, and collaborates with data engineering and compliance teams to ensure adherence to open-source licensing requirements. No prior AI experience is required; domain expertise in document sourcing and licensing is key.

This role involves applying systems and infrastructure expertise to help train next-generation AI models. You will navigate, troubleshoot, and recover dynamic infrastructure using command-line tools, manage highly containerized environments, and collaborate with engineering teams to ensure reliability and performance. The position is fully remote and contractor-based.

This Site Reliability Engineer role involves applying domain expertise to help train next-generation AI systems by designing and maintaining scalable infrastructure. The engineer will monitor system health, automate operations, respond to incidents, and collaborate with development teams to ensure high availability. No prior AI experience is required—only deep knowledge of Linux, Kubernetes, and Prometheus.

This role involves applying your expertise to train next-generation AI systems by designing and optimizing machine learning models for production. You will implement end-to-end ML pipelines using CI/CD, AWS, and Kubernetes, and collaborate with data scientists and engineers to solve real-world data challenges.

This role involves leveraging expertise in Linear, a project management tool, to train next-generation AI systems. The specialist will test and evaluate Linear workflows, document best practices, and analyze user behaviors to provide structured feedback for AI learning. The work is remote and contract-based, requiring strong communication and analytical skills.

As a Senior Software Engineer, you will apply your expertise in JavaScript, Java, and Python to design, develop, and maintain scalable software applications. Your work will also involve contributing to the training of next-generation AI systems by providing high-quality, real-world input. No prior AI experience is required—your domain knowledge is what matters. You will collaborate with cross-functional teams, mentor junior developers, and participate in agile development processes.

This role involves applying C# expertise to train next-generation AI systems. The developer will design, develop, and optimize C# applications, collaborate remotely with cross-functional teams, implement and maintain CI/CD pipelines on Azure and AWS, and participate in Agile ceremonies. No prior AI experience is required; domain knowledge in C# is what matters.

This role involves applying SQL expertise to help train next-generation AI systems by designing and optimizing complex queries for data pipelines and analytics. You will collaborate with AI engineers and data scientists to implement data solutions, analyze large datasets, and ensure data integrity for machine learning workflows. The position is fully remote and offers the opportunity to contribute directly to the improvement of AI models through high-quality, real-world data input.

This C Developer role involves applying expertise in C programming to help train next-generation AI systems. The work will shape how AI models learn, reason, and perform through high-quality, real-world input. No prior AI experience is required—domain knowledge in C is what matters. The position is remote and contract-based.

This Infrastructure Engineer role involves maintaining and optimizing existing infrastructure to ensure robust system performance and reliability. The position supports network operations, implements new systems, and integrates virtualization technologies. The engineer will collaborate with the customer's team on deployments and troubleshooting, while documenting processes and monitoring system health. This role is remote and involves training AI systems through real-world input.

This Senior DevOps Engineer role focuses on applying DevOps expertise to help train next-generation AI systems. You will design and maintain scalable infrastructure using Kubernetes on AWS and GCP, develop CI/CD pipelines, automate deployments with Python, and collaborate with cross-functional teams to ensure robust cloud-native architectures.

This Senior Backend Engineer role involves designing and optimizing robust backend APIs using Python and FastAPI, deploying scalable solutions on AWS and Kubernetes, and architecting real-time systems with WebSockets and message queues. The work directly contributes to training next-generation AI systems by providing high-quality, real-world input that improves model learning and reasoning. The position is fully remote and contract-based, requiring strong communication and autonomy.