Discover full-time remote Operations Generalist jobs in Sydney for 2026 at Rex.zone. Drive process optimization, cross-functional collaboration, and operational excellence for global AI/ML data pipelines.
Title: Operations Generalist Sydney 2026 Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Operations Skills: Operations Management, Process Optimization, Cross-functional Leadership, Project Management, Data Analysis Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
Rex.zone is seeking a highly adaptable Operations Generalist to streamline our AI/ML training workflows. In this remote, full-time position, you will oversee the operational efficiency of data labeling, RLHF evaluation, and QA evaluation processes. By bridging the gap between engineering teams and data annotation specialists, you will ensure training data quality and strict annotation guidelines compliance across all large language model evaluation projects.
Your primary focus will be model performance improvement through operational excellence. You will manage end-to-end project lifecycles for NLP, computer vision annotation, and content safety labeling initiatives. This includes resource allocation, bottleneck resolution, and scaling LLM training pipelines. Whether partnering with AI labs or tech startups, you will ensure that prompt evaluation and named entity recognition tasks are delivered on time and within budget.
Yes, this is a fully remote, full-time position. While the role is targeted for Sydney 2026, you will collaborate globally with our distributed teams, AI labs, and tech startups.
Ideal candidates possess mid-senior level experience in operations management, process optimization, and cross-functional leadership. Familiarity with AI data labeling, RLHF, and training data quality assurance is highly preferred.
The Operations Generalist is critical to our LLM training pipelines. By optimizing workflows for data annotation and QA evaluation, you directly contribute to model performance improvement and ensure strict annotation guidelines compliance.
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