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. You will work remotely with a global team, designing training workflows, creating high‑quality datasets, and evaluating model performance across diverse domains.

Key responsibilities

• Architect and manage end‑to‑end training pipelines, including supervised fine‑tuning (SFT), RLHF, and red‑team exercises.
• Develop complex prompt templates and testing scenarios for coding, creative writing, reasoning, and multilingual tasks.
• Define and maintain rubrics to assess model output quality.
• Analyze model failures, identify bias or hallucination sources, and produce “golden datasets” as standards.
• Guide junior trainers and annotators, ensuring consistency across the global team.
• Document training methodologies, model behaviors, 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 tools.
• Design strategies for generating synthetic data to improve robustness in 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

What we offer

• Remote work with a worldwide team.
• Opportunities to influence cutting‑edge AI research.
• Collaborative environment with ML engineers and product leaders.