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Apple AI Evaluation Data Scientist - Health United States, West Virginia 6041671
04.09.2025
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In this role, you will be at the forefront of developing and validating evaluation methodologies for Generative AI systems in health and wellbeing applications. You will design comprehensive human annotation frameworks, build automated evaluation tools, and conduct rigorous statistical analyses to ensure the reliability of both human and AI-based assessment systems. Your work will directly impact the quality and trustworthiness of customer-facing health products.
In this role you will: - Design and analyze human evaluations of AI systems to create reliable annotation frameworks, and ensure validity and reliability of measurements of latent constructs- Develop and refine benchmarks and evaluation protocols, using statistical modeling, test theory, and task design to capture model performance across diverse contexts and user needs- Conduct statistical analysis of evaluation data to extract meaningful insights, identify systematic issues, and inform improvements to both models and evaluation processes- Independently run and analyze experiments for real improvements
- Bachelor's degree (or equivalent experience) in a empirical field with emphasis on quantitative methodologies of human behavior, including HCI, Psychometrics, Quantitative or Experimental Psychology, Educational Measurement, Language Assessment, or a relevant field
- Proficiency in Python and ability to write clean, performant code and collaborate using standard software development practices (e.g. Git)
- Strong statistical analysis skills and experience in crafting experiments, validating data quality and model performance
- Experience in building and extending data and inference pipelines to process large scale datasets
- MS and a minimum of 3 years of relevant industry experience or PhD in relevant fields
- Real-world experience with LLM-based evaluation systems and human annotation and human evaluation methodologies
- Experience in rigorous, evidence-based approaches to test development, e.g. quantitative and qualitative test design, reliability and validity analysis
- Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products
- Strong communication skills and ability to work cross-functionally with technical and non-technical stakeholders
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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