AI Trainer – LLM & Generative AI Specialist

About the role

We are looking for a detail‑oriented AI Trainer to help develop and refine large language models and generative AI systems. The role is fully remote and involves working closely with engineers and product teams to improve model performance across diverse tasks.

Key responsibilities

• Design, execute and manage end‑to‑end training workflows, including supervised fine‑tuning, RLHF and red‑team exercises.
• Create complex prompt templates and testing scenarios for coding, creative writing, reasoning and multilingual tasks.
• Define and maintain rubrics for model output quality and produce high‑quality “golden datasets”.
• Analyse model failures, identify bias, hallucinations or logical errors, and document root causes.
• 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 and evaluation tools.
• Generate synthetic data to augment training sets and improve robustness in niche scenarios.

Required profile

• Minimum 2 years of experience in a relevant technical field such as software engineering or computer science.
• Strong analytical mindset with ability to dissect complex problems and recognise data patterns.
• Comfortable reading technical papers and staying up‑to‑date with AI safety research.
• Proven ability to manage multiple projects, meet tight deadlines and shift between technical and creative tasks.

Required skills

• Python
• JSON
• APIs
• Data analysis
• Metrics for evaluating model performance