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[Remote] Data Research Engineer

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Microsoft is seeking Data Research Engineers to join their Multimodal team, focusing on building next-generation foundation models across various domains. The role involves designing and curating high-quality datasets to enhance AI models, collaborating with diverse teams to ensure data quality and ethical standards.

Responsibilities

  • Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
  • Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation
  • Analyze real-world multimodal 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 standards for quality, privacy, and responsible AI practices
  • Embody our culture and values

Skills

  • Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) + OR equivalent experience
  • Master's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
  • OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
  • OR equivalent experience
  • 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured
  • Proficiency in statistics and exploratory data analysis methods
  • Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam
  • Ability to communicate technical findings clearly to research and product teams

Benefits

  • Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
  • Microsoft is an equal opportunity employer.
  • If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Company Overview

  • Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. It was founded in 1975, and is headquartered in Redmond, Washington, USA, with a workforce of 10001+ employees. Its website is https://www.microsoft.com.

    • Company H1B Sponsorship

  • Microsoft has a track record of offering H1B sponsorships, with 1317 in 2026, 9192 in 2025, 9343 in 2024, 7677 in 2023, 11403 in 2022, 7210 in 2021, 7852 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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This position is an excellent opportunity for motivated and detail-oriented teenagers looking to build valuable work experience in a fast-paced environment. Key Responsibilities: Accurately enter customer data into our internal systems. Review and verify data for accuracy and completeness. Organize and maintain data files and records. Assist in organizing information and preparing reports. Communicate effectively with team members to resolve discrepancies. Who We Are Looking For This role is perfect for a responsible 17-year-old who is eager to learn and grow. We are looking for candidates who meet the following criteria: Essential Qualifications: Must be 17 years old by the time of application. High School student or recent graduate preferred. Basic computer skills and familiarity with Microsoft Office Suite. Strong attention to detail and organization skills. Ability to work independently as well as a part of a team. Effective communication skills—both written and verbal. 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