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You will be responsible for ensuring that our research data needs are being met and that our data creation vendors are providing high-quality, high-value and compliant data to support our research priorities.\u00a0\u00a0 We are seeking a highly analytical and detail-oriented AI training data quality assurance (QA) specialist with a strong background in coding + STEM, phenomenal attention to detail, and program management experience to ensure the quality and integrity of data creation and annotation work performed by Microsoft partners. This individual will play a key role in defining data collection requirements, reviewing and validating complex annotations, ensuring alignment with project guidelines, building instructions and guidelines to annotators, actively enhancing coordination with vendors, giving feedback to vendors, and supporting the continuous improvement of data quality processes that result in improved model training and evaluation. 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Responsibilities Help drive overall data creation and vendor management strategy.\u00a0 Perform quality assurance checks on vendor-provided coding, STEM, RLHF, and other data collection types.\u00a0 Collaborate with internal teams and vendors to define quality metrics and resolve discrepancies.\u00a0 Develop and maintain data annotation instructions, guidelines and templates.\u00a0\u00a0 Provide detailed feedback and coaching to vendors to uphold high-quality standards.\u00a0 Identify systemic quality issues and drive root-cause analysis and resolution plans.\u00a0 Support program management of annotation workflows, timelines, and priorities.\u00a0 Monitor progress and help track key performance indicators (KPIs) related to QA.\u00a0 Participate in designing and improving annotation tooling and platform for QA features.\u00a0\u00a0 Help ensure the safe, compliant, responsible, and agile use of data to support our research priorities.\u00a0 Help other Microsoft AI building teams access data for training as needed. Embody our  Culture  and  Values .\u00a0\u00a0 Qualifications Required Qualifications: Bachelor\u2019s Degree in Computer Science, Mathematics, Engineering, or a related technical field AND at least 6 years' experience in STEM and Code data creation efforts that involve complex QA and program management OR \u00a0Master\u2019s Degree in Computer Science, Mathematics, Engineering, or a related technical field AND at least 4 years' experience in STEM and Code data creation efforts that involve complex QA and program management, or equivalent experience\u00a0 OR  equivalent experience\u00a0 4+ years of experience in leading multi-disciplinary projects, defining requirements, developing project plans and working with technical teams to execute them\u00a0 Excellent attention to detail and critical thinking skills\u00a0 Solid understanding of programming concepts, data structures, and algorithms.\u00a0 Experience in managing and goal tracking data collection or other equivalent programs\u00a0\u00a0 Experience in coding, or technical program management.\u00a0 Strong LLM practitioner, who frequently uses LLMs and understands how training data is used to improve them\u00a0 Solid communication and collaboration skills, with the ability to give clear, constructive feedback.\u00a0 Preferred Qualifications PhD. in a relevant field AND at least  6  years' experience in STEM and Code data creation efforts that involve complex QA and program management, or equivalent experience.\u00a0 6+ years' experience managing cross-functional and/or cross-team projects.\u00a0 Familiarity with Python, SQL, JS or other programming languages used in data annotation.\u00a0 Background in educational content, coding assessments, or STEM domains.\u00a0 Experience working with data labeling platforms and quality monitoring tools.\u00a0 Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. 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