About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.

H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning and collaboration, where everyone has something to contribute.

Holistic, Humanist, Humble.

About the Team: The AI Data team advances the performance of Large Language Models (LLMs) and Vision-Language Models (VLMs) through cutting-edge data-centric techniques. From synthetic data generation to model distillation and AI-driven preference alignment, we develop high-quality datasets that enhance model efficiency, reasoning, and adaptability. Our work directly impacts the training and fine-tuning of frontier AI systems, ensuring they learn from richer, more diverse, and better-structured data.

Join us in shaping the future of AI through cutting-edge data optimization. We’re looking for driven individuals who thrive in fast-changing environments, adapt to new research paradigms, and eagerly take on challenges—whether deploying models, inspecting data, or pioneering new synthetic and reinforcement learning data methods.

Key Responsibilities:

• Develop and implement cutting-edge data strategies to improve the performance, efficiency, and applicability of LLMs, VLMs and Action Models:

  • Generate and augment synthetic multimodal datasets, including images, text, and action trajectories, to advance model capabilities in areas like VQA, agent behaviors, and virtual navigation

  • Apply model distillation techniques to optimize large-scale models for edge deployment, ensuring scalability without compromising performance

  • Design and iterate on evaluation frameworks to target edge cases and measure model improvements across multiple domains

  • Lead research into aligning data with human and AI preferences, implementing feedback loops to refine agent decision-making and learning behaviors

  • Collaborate effectively with cross-functional teams to integrate data-driven solutions into LLM, VLM and Agent systems

  • Stay at the forefront of breakthroughs in AI data strategies, model distillation, and multimodal learning through active scientific exploration

Requirements:

• Technical skills:

  • Strong, polyvalent programming skills in Python covering parallel computing, system design, large-scale deployments, AWS deployments and model evaluations

  • Experience developing and maintaining multimodal data pipelines

  • Experience in training and deploying LLMs, VLMs or Pytorch models

• Research skills:

  • MSc or PhD in machine learning, computer vision, natural language processing, or a related field

  • Deep understanding of training and evaluation paradigms for multimodal models

• Soft skills:

  • Strong communication skills with technical and non-technical staff

  • Effectiveness in fast-changing environments

• Bonuses:

  • Experience with Agent-specific data pipelines and improvement techniques is a plus

  • Experience managing efficient multi-modal human annotation platforms is a plus

Location:

• H's teams are distributed throughout France, the UK, and the US

• This role has the potential to be fully remote or hybrid for candidates based in cities where we have an office - currently Paris and London

• The final decision for this will lie with the hiring manager for each individual role

What We Offer:

• Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups

• Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment

• Enjoy a competitive salary

• Unlock opportunities for professional growth, continuous learning, and career development

If you want to change the status quo in AI, join us.