AI Trainer – LLM & Generative AI Specialist

About the role

We are looking for a detail‑oriented AI Trainer to help shape the next generation of large language models and generative AI systems. The role is fully remote and involves collaborating with engineers, product managers, and a global annotation team.

Key responsibilities

• Design, implement and manage end‑to‑end training workflows, including supervised fine‑tuning, RLHF and red‑team exercises.
• Create complex prompt templates and testing scenarios across coding, creative writing, reasoning and multilingual tasks.
• Define and maintain quality rubrics, analyse model failures, and produce high‑quality “golden datasets”.
• Guide junior trainers and annotators, ensuring consistency and high standards.
• Document training methodologies, model behaviours and iterative improvements for internal stakeholders.
• Collaborate with ML engineers and product managers to translate research goals into actionable annotation tasks.
• Identify workflow bottlenecks and propose enhancements to annotation platforms and tools.
• Generate synthetic data to augment training sets and improve model robustness.

Required profile

• Minimum 2 years of experience in a relevant technical field such as software engineering or computer science.
• Strong analytical ability to dissect complex problems and identify patterns in data.
• Comfortable reading technical papers and staying up‑to‑date with AI safety research.
• Proven experience using data analysis or metrics to justify training decisions.
• Ability to manage multiple projects, prioritize tasks and meet tight deadlines.
• Flexibility to shift between technical (e.g., ranking code) and creative (e.g., writing fiction) tasks.

Required skills

• Python
• JSON
• APIs