Pretraining Data (AI)

Location: Mountain View, New York City, or Redmond, United States

Base pay: USD $119,800–$234,700 per year for Software Engineering IC4 roles across the U.S.; other ranges apply to IC5 roles and specific locations.

Company

Microsoft AI develops AI foundation models and related products.

What you will do

• Design, curate, and evaluate high-quality datasets for training and evaluating frontier AI models.
• Develop and maintain scalable pipelines for data ingestion, processing, filtering, and annotation.
• Analyze real-world datasets for quality, diversity, relevance, and improvement opportunities.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with scientists, engineers, annotators, and research and product teams.
• Work with Safety, Ethics, and Governance teams to meet quality, privacy, and responsible AI standards.

Requirements

• Bachelor’s degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical discipline, plus 4+ years of technical engineering experience, or equivalent experience.
• Coding experience in Python and common data libraries such as Pandas and NumPy.

Nice to have

• Bachelor’s degree in a relevant technical discipline plus 10+ years of technical engineering experience, or a master’s degree in a relevant technical discipline plus 8+ years of technical engineering experience, or equivalent experience.
• 2+ years of experience in data analysis or data engineering with large-scale unstructured or semi-structured datasets.
• Proficiency in statistics and exploratory data analysis methods.
• Familiarity with Spark, Ray, or Apache Beam.
• Ability to communicate technical findings clearly to research and product teams.

Culture & Benefits

• Cross-disciplinary work focused on research and engineering for AI models and products.
• Collaboration with Safety, Ethics, and Governance teams on privacy and responsible AI practices.
• Some roles may be eligible for benefits and additional compensation.
• Academic publishing is not a priority for this role.