We are looking for DevOps engineers to help train and evaluate AI models on infrastructure, deployment and reliability work. You will build and validate infrastructure and CI/CD tasks and review AI-generated configurations and scripts for correctness and security.
Remote AI Expert - Cloud & DevOps Jobs in New Zealand 2026
10 remote jobs open to candidates in New Zealand in AI Expert - Cloud & DevOps. Updated daily.
A model will hand you a pipeline and an infrastructure change that apply cleanly and quietly leave a security group open to the world, a state file that will corrupt on the next run, and a rollback path that does not exist. In production those mistakes page someone at 3am.
Project Overview We are sourcing experienced technical specialists in AWS Serverless and Infrastructure as Code to audit tasks used to train and evaluate AI systems.
Project Overview We are sourcing experienced technical specialists in AWS Trainium and Neuron Kernel Interface (NKI) to audit tasks used to train and evaluate AI systems.
We are sorcing experienced technical specialists in Kubernetes to audit tasks used to train and evaluate AI systems. The objective of this project is to ensure that AI training workflows and tasks are technically rigorous, practical, and highly accurate within your specific area…
Cloud engineers to build the infrastructure and automation scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
We're working with a leading foundational AI lab to find experienced site reliability engineers and incident management leads who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
Apply DevOps and SRE expertise to AI training — validate infrastructure and reliability content, annotate technical workflows, and improve engineering-focused AI models.
Labelbox • Remote (United States preferred) Shape the data that powers frontier AI Quick facts - Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min.
Provide cloud infrastructure and architecture expertise for AI training covering AWS, GCP, Azure, and distributed systems design.