At a Glance
- Tasks: Optimise AI/ML training pipelines through data labeling and QA evaluation.
- Company: Join Rex.zone, a leader in AI innovation.
- Benefits: Fully remote work with flexible hours and competitive pay.
- Other info: Great opportunity for career growth in a dynamic tech environment.
- Why this job: Make an impact in AI while working from anywhere.
- Qualifications: Experience in large language model evaluation and data annotation.
The predicted salary is between 61650 - 75350 $ per year.
Discover full-time remote Data Generalist jobs in Sydney for 2026. Join Rex. zone to optimize AI/ML training pipelines through expert data labeling, RLHF, and QA evaluation.
Core Responsibilities in AI/ML 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.
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.
Data Generalist in Gold Coast employer: Rex.zone
Rex.zone is an exceptional employer for Data Generalists, offering a fully remote work environment that fosters collaboration and innovation. With a strong focus on employee growth, we provide opportunities for professional development in the rapidly evolving field of AI/ML, alongside a supportive work culture that values diversity and creativity. Join us in Sydney to be part of a forward-thinking team dedicated to optimising AI training pipelines while enjoying the flexibility and benefits of remote work.
