[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-generalist-jobs-sydney-2026":3},{"Ques":4,"Slug":16,"Header":17,"job_category":30},{"title":5,"content":6},"Frequently Asked Questions About Data Generalist Jobs Sydney 2026",[7,10,13],{"A":8,"Q":9},"A Data Generalist handles various aspects of AI data preparation, including data labeling, RLHF, prompt evaluation, and QA evaluation to support LLM training pipelines and improve model performance.","What does a Data Generalist at Rex.zone do?",{"A":11,"Q":12},"Yes, these Data Generalist jobs for 2026 are full-time remote positions. While the target location is Sydney, you can work remotely while collaborating with our global engineering and AI labs teams.","Is this Sydney-based role fully remote?",{"A":14,"Q":15},"Key skills include expertise in training data quality, named entity recognition, computer vision annotation, and content safety labeling. Familiarity with NLP and AI\u002FML training workflows is essential.","What skills are required for this mid-senior role?","data-generalist-jobs-sydney-2026",{"desc":18,"title":19,"content":20},"Discover full-time remote Data Generalist jobs in Sydney for 2026. Join Rex.zone to optimize AI\u002FML training pipelines through expert data labeling, RLHF, and QA evaluation.","Data Generalist Jobs Sydney 2026",[21,24,27],{"h2":22,"desc":23},"Data Generalist","Title: Data Generalist\nDate: 25-02-2026\nCompany: Rexzone\nCountry: AU\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Data Labeling, RLHF, QA Evaluation, Prompt Evaluation, Named Entity Recognition, LLM Training Pipelines\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nWelcome to Rex.zone. We are actively recruiting for Data Generalist jobs in Sydney for 2026. In this full-time remote role, you will define the core of AI\u002FML training workflows by ensuring training data quality and annotation guidelines compliance. As a data generalist, your work directly contributes to model performance improvement and large language model evaluation. Whether you have a background in tech startups, AI labs, or BPOs, this role offers a unique opportunity to shape the future of artificial intelligence.",{"h2":25,"desc":26},"Core Responsibilities in AI\u002FML Training Pipelines","As a senior remote data generalist, you will handle diverse tasks including RLHF (Reinforcement Learning from Human Feedback), complex data labeling, and comprehensive QA evaluation. Your daily workflows will involve prompt evaluation, named entity recognition, and content safety labeling across NLP and computer vision annotation projects. You will collaborate with annotation vendors and freelance experts to maintain high standards in LLM training pipelines.",{"h2":28,"desc":29},"Qualifications for Remote Data Generalists","We are looking for mid-senior professionals, though we occasionally offer entry-level and contract opportunities. Candidates must possess deep expertise in large language model evaluation and model performance improvement. You should be comfortable working in a fully remote environment, engaging with cross-functional engineering teams, and ensuring strict annotation guidelines compliance for diverse AI models.","AI Data Operations"]