Discover premier Data Generalist Jobs Melbourne 2026 at Rex.zone. We are hiring remote, full-time, and freelance data labeling experts to power AI training pipelines. As a data generalist, you will engage in RLHF (Reinforcement Learning from Human Feedback), QA evaluation, and prompt evaluation for large language models. Join our global remote team to ensure training data quality and annotation guidelines compliance, directly contributing to model performance improvement. Whether you are seeking entry-level or senior roles in NLP, computer vision, or content safety labeling, Rex.zone offers unparalleled opportunities in the AI/ML ecosystem.
As a Data Generalist in Melbourne, your primary focus will be on large language model evaluation and named entity recognition. You will execute complex data labeling tasks, ensuring strict annotation guidelines compliance. Your daily workflows will involve content safety labeling, computer vision annotation, and RLHF evaluation to refine AI model accuracy. This full-time remote role is critical for AI labs and tech startups relying on high-quality datasets.
Key Responsibilities and Skills
Candidates must possess deep expertise in training data quality assurance and NLP workflows. You will collaborate with engineering teams to optimize LLM training pipelines and conduct rigorous QA evaluation. Experience with BPOs or annotation vendors is a plus. We welcome applicants looking for contract, freelance, or full-time opportunities to drive model performance improvement across diverse AI domains.
Frequently Asked Questions About Data Generalist Jobs
Q: What does a Data Generalist do at Rex.zone?
A Data Generalist handles diverse data labeling, RLHF, and QA evaluation tasks to improve large language model performance and ensure training data quality.
Q: Are these Data Generalist jobs in Melbourne fully remote?
Yes, these are fully remote roles. While targeted for the Melbourne 2026 hiring initiative, you can work flexibly as a full-time, contract, or freelance data annotation specialist.
Q: What skills are required for LLM training pipelines?
Key skills include prompt evaluation, named entity recognition, content safety labeling, and strict adherence to annotation guidelines compliance.
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