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Microsoft

Closes tomorrow

Quick summary

Work type: On-site
Location: —
Salary: $85,400–$168,100 / yr
Posted: 178 days ago
Closes: Jun 7, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k

This role $127k

$67k most similar roles pay here $254k

This role pays less than 95% of similar roles. Most pay $167,500–$214,500 — the shaded band above. At the midpoint, this role pays about $127k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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Join Microsoft's AI Superintelligence Post-Training team as an AI Data & Training Technical Staff to advance cutting-edge datasets and training methods for large-scale language and multimodal models. You will design high-quality datasets, develop scalable data pipelines, and apply deep expertise in pre-training and reinforcement learning. Daily tasks include evaluating real-world multimodal data quality, building lightweight tools for dataset management, and collaborating with cross-functional teams on impactful research projects. Ideal candidates possess a Master's degree or equivalent experience, proficiency in Python and modern data libraries like Pandas and NumPy, and hands-on experience with distributed data frameworks and cloud ecosystems. This role demands expertise in large-scale AI model training and the ability to work efficiently within interdisciplinary teams.

Skills

Python Pandas NumPy Spark Ray Apache_Beam Azure Docker Kubernetes CI/CD Git PostgreSQL TensorFlow PyTorch Hugging_Face GitHub_Pods Visual_Studio_Code LoRA DeBerTa Oscar Rho-1 Florence Phi_Models

What you'll do

Design high-quality datasets and benchmarks for training AI models.
Apply expertise in pre-training, post-training, and reinforcement learning for models.
Develop scalable data pipelines for large, complex multimodal datasets.
Assess real-world multimodal datasets for quality, diversity, and relevance.
Build tools for dataset auditing, visualization, and versioning to streamline experiments.

What we're looking for

Bachelor's Degree or equivalent experience with 3+ months of research internship.
Master's Degree and 1+ year of related research experience preferred.
Proficiency in Python and modern data libraries (Pandas, NumPy).
Experience with distributed data frameworks like Spark and cloud ecosystems.
Hands-on work with large-scale unstructured datasets including images, video, audio, and code.
Proven ability to train AI models at significant scale.

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