Discover remote Data Generalist jobs in New Zealand for 2026 at Rex.zone. Power AI/ML training pipelines through expert data labeling, RLHF evaluation, and comprehensive quality assurance for large language models.
Date: 25-02-2026 Company: Rex.zone Country: New Zealand Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Data Labeling, RLHF, QA Evaluation, NLP, LLM Training Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
As a Data Generalist, you will drive model performance improvement by executing complex data labeling, prompt evaluation, and named entity recognition. Working within advanced LLM training pipelines, your focus on annotation guidelines compliance will directly impact training data quality. This remote role involves rigorous QA evaluation and content safety labeling to support leading AI labs and tech startups.
We offer flexible remote, contract, freelance, and full-time opportunities. Whether you are an entry-level annotator or a senior QA specialist, you must possess strong skills in NLP and computer vision annotation. Join Rex.zone to shape the future of AI through meticulous large language model evaluation.
The primary focus is enhancing AI/ML models through precise data labeling, RLHF, and QA evaluation. You will work on diverse datasets including NLP and computer vision to ensure high training data quality.
Yes, all Data Generalist roles at Rex.zone are 100% remote, allowing you to work from anywhere in New Zealand across various freelance, contract, or full-time arrangements.
Candidates need strong analytical skills, attention to detail for annotation guidelines compliance, and experience with prompt evaluation, content safety labeling, and named entity recognition.
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