Remote AI Data Quality Manager (New Grad)

Hire Feed; United States; On-site; USD 60,000 - 85,000; Full time

Job summary

Hire Feed is seeking a Human Data Manager, New Grad to join our data infrastructure team in the United States. The role focuses on ensuring accuracy and integrity of data used in AI/ML models by performing quality checks, correcting errors, and validating outputs.

You will collaborate with cross-functional teams to maintain datasets powering automated systems, perform manual reviews of AI-generated data, annotate and correct data points, and document issues for future reference.

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.

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

Skills

Data quality

Data annotation

Spreadsheet skills

Attention to detail

Communication

Education

Bachelor's degree in CS/Data Science

Tools

Spreadsheets

Databases

Data Visualization

Job description

Hire Feed is seeking a Human Data Manager, New Grad to join our data infrastructure team in the United States. The role focuses on ensuring accuracy and integrity of data used in AI/ML models by performing quality checks, correcting errors, and validating outputs.

You will collaborate with cross-functional teams to maintain datasets powering automated systems, perform manual reviews of AI-generated data, annotate and correct data points, and document issues for future reference.