Member of Technical Staff – Pretraining Text Data (AI)

TL;DR

Member of Technical Staff (AI): Designing and curating high-quality datasets to power frontier AI models with an accent on developing novel data collection strategies, improving dataset quality, and understanding data-driven model behaviors. Focus on building and maintaining scalable data pipelines, analyzing real-world text datasets, and aligning datasets with ethical and societal values.

Location: Onsite in Zürich, Switzerland

Company

hirify.global's Superintelligence Team is a startup-like team within hirify.global, focused on advancing AI towards Humanist Superintelligence.

What you will do

• Create high-quality datasets for training and evaluation, running experiments to assess data impact and effectiveness.
• Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
• Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet responsible AI practices.

Requirements

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline.
• Technical engineering experience with coding in Python and common data libraries (Pandas, NumPy, etc.).
• 2+ years of experience in data analysis or data engineering, including work with large-scale unstructured or semi-structured datasets.
• Proficiency in statistics and exploratory data analysis methods.

Culture & Benefits

• Join the Microsoft Superintelligence Team, pushing the boundaries of AI toward Humanist Superintelligence.
• Work in a startup-like environment within hirify.global, aiming to amplify human potential.
• Collaborate with scientists, engineers, and annotators in a cross-disciplinary, high-impact role.
• Contribute to the development of next-generation foundation large language models.
• Embody values of respect, integrity, and accountability in an inclusive culture.