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 engineering and product teams.

Key responsibilities

• Architect 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 create “golden datasets” as standards.
• Analyze model failures, identify root causes of bias, hallucination, or logical errors.
• Guide and review junior trainers and annotators to ensure consistency.
• Document training methodologies, model behaviors, and iterative improvements.
• Collaborate with ML engineers and product managers to translate research goals into actionable tasks.
• Identify workflow bottlenecks and propose improvements to annotation and evaluation tools.
• Design strategies for generating high‑quality synthetic data to enhance model robustness.

Required profile

• Minimum 2 years of experience in a relevant field such as software engineering or computer science.
• Strong analytical ability to dissect complex problems and articulate abstract concepts.
• Willingness to learn internal tooling and basic machine‑learning concepts.
• Comfort reading technical papers and staying updated on AI safety research.
• Experience using data analysis or metrics to justify training decisions.
• Ability to manage multiple concurrent projects and meet tight deadlines.
• Flexibility to shift between technical tasks (e.g., ranking code) and creative tasks (e.g., writing fiction).

Required skills

• Python
• JSON
• APIs