AI Trainer – LLM & Generative AI Specialist

About the role

We are looking for a detail‑oriented AI Trainer to help develop and improve large language models and generative AI systems. The role is fully remote and involves creating high‑quality training data, evaluating model outputs, and collaborating with engineers and product teams.

Key responsibilities

• Design and manage end‑to‑end training workflows, including supervised fine‑tuning, RLHF, and red‑team exercises.
• Develop complex prompt templates and testing scenarios across coding, creative writing, reasoning, and multilingual tasks.
• Define and maintain rubrics for model output quality and document training methodologies.
• Analyze model failures, identify bias or hallucination sources, and create “golden datasets” as standards.
• Guide junior trainers and annotators, ensuring consistency across a global team.
• Collaborate with ML engineers and product managers to translate research goals into actionable annotation tasks.
• Identify workflow bottlenecks and propose improvements to annotation tools and platforms.
• Generate high‑quality synthetic data to augment training sets for niche scenarios.

Required profile

• Minimum 2 years of experience in a relevant technical field (e.g., software engineering, computer science).
• Strong analytical ability to dissect complex problems and articulate abstract concepts.
• Comfortable reading technical papers and staying updated on AI safety research.
• 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., code ranking) and creative (e.g., fiction writing) tasks.

Required skills

• Python
• JSON
• APIs