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, flexible hours, and opportunities for professional growth.
- Other info: Dynamic team environment with potential for entry-level roles.
- Why this job: Make an impact in AI while working with cutting-edge technology.
- Qualifications: Experience in large language model evaluation and data annotation.
The predicted salary is between 90000 - 110000 $ 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
- Handle diverse tasks including RLHF (Reinforcement Learning from Human Feedback), complex data labeling, and comprehensive QA evaluation.
- Daily workflows will involve prompt evaluation, named entity recognition, and content safety labeling across NLP and computer vision annotation projects.
- Collaborate with annotation vendors and freelance experts to maintain high standards in LLM training pipelines.
Qualifications For Remote Data Generalists
- Looking for mid-senior professionals, though entry-level and contract opportunities are occasionally offered.
- Candidates must possess deep expertise in large language model evaluation and model performance improvement.
- 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 Sydney 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.
