TL;DR
Member of Technical Staff – Pretraining Text Data (AI): Designing and curating high-quality datasets to power frontier AI models with an accent on developing novel data collection strategies and improving dataset quality. Focus on understanding data-driven model behaviors and aligning datasets with ethical and societal values.
Location: Redmond, United States. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
Salary: USD $119,800 – $304,200 per year (depending on level and location).
Company
Microsoft Superintelligence team is a startup-like team within hirify.global, aiming to build ultra-capable, safety-aligned AI systems to amplify human potential.
What you will do
- Create high-quality datasets for training and evaluation, conducting experiments to assess data impact.
- Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
- Analyze real-world text datasets to assess quality, diversity, and relevance.
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
- Collaborate with Safety, Ethics, and Governance teams to ensure responsible AI practices.
Requirements
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline.
- 4+ years of technical engineering experience with coding in Python and common data libraries (Pandas, NumPy).
- 2+ years of experience in data analysis or data engineering, including work with large-scale unstructured or semi-structured datasets (preferred).
- Proficiency in statistics and exploratory data analysis methods (preferred).
- Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam (preferred).
Culture & Benefits
- Work within hirify.global’s Superintelligence Team, a startup-like environment.
- Opportunity to work on next-generation AI models for billions of users.
- Culture of inclusion, respect, integrity, and accountability.
- Focus on advancing science, education, and global well-being.
- Access to comprehensive benefits and compensation as a Microsoft employee.
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