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Role Overview:
We are hiring for one of our clients, seeking a Human Data Manager, New Grad to work on a full-time basis. The role involves ensuring the accuracy and integrity of data used in AI and machine learning models by performing quality checks, correcting errors, and validating outputs. You will collaborate with cross-functional teams to maintain high standards for datasets that power automated systems.
Key Responsibilities:
• Perform manual reviews of AI-generated data to identify inaccuracies, inconsistencies, or biases
• Correct and annotate data points to improve model performance and reliability
• Validate datasets against predefined quality criteria and business requirements
• Document data issues and resolutions for future reference and team transparency
• Communicate findings and recommendations to engineering and product teams
Required Skills & Qualifications:
• Bachelor's degree in Computer Science, Data Science, or a related field
• Familiarity with data annotation, labeling, or quality assurance processes
• Experience with spreadsheets, databases, or data visualization tools
• Strong attention to detail and ability to spot discrepancies in large datasets
• Proficiency in written and verbal communication for reporting issues and solutions
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to the development of trusted AI systems. The position supports long-term initiatives focused on responsible data practices and model accuracy.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!
Job ID: 152539299
Skills:
Understanding of recommended CDM best practices and associated documentation, Understanding of clinical trials and study lifecycle, Experience in clinical trial databases and applications
Skills:
Predictive Modeling, Python, Sql, Statistical Analysis, R, cloud-based analytics platforms, machine learning techniques, data visualization tools
Skills:
bagging , Sql, Tensorflow, Deep Learning, Tableau, Power Bi, Cluster Analysis, AZURE Cloud Services, Boosting, Llm, ML API integrations, Non-Relational Databases, Relational Databases, Time Series Forecasting, Python Programming Language
Skills:
Machine Learning, Sql, Azure ML, Python, LangChain, Prompt engineering, LLMs, Vector databases, Cloud-based data ML platforms, LangGraph, GCP Vertex AI, AWS SageMaker, Orchestration frameworks