Remote Data Science Ai Specialist
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As a Data Science Expert, you will help refine language models through advanced challenges, ground-truth solutions, and structured feedback. Your work may cover hyperparameter optimization, Bayesian inference, dimensionality reduction, and cross-validation. Python, R, SQL, Scikit-Learn, PyTorch, and TensorFlow are relevant tools.
Key Responsibilities
Design complex data science challenges across advanced statistical topicsAuthor step-by-step solutions with scripts, queries, and derivationsAudit AI-generated code for correctness, efficiency, and best practicesIdentify leakage, overfitting, and imbalanced-data handling failuresProvide feedback that improves AI reasoningRequirements:
Master's or PhD completed or in progressStudy in data science, statistics, computer science, or related fieldsExpertise in supervised or unsupervised learning and deep learningClear written communication of algorithms and statistical findingsPrecision reviewing code, notation, and statistical conclusionsUse quantitative expertise, technical writing, and code review skills to strengthen Alignerr’s advanced AI language models remotely.
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