- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 12 hours ago
- Work mode
- Work from home
- Education
- Bachelor's degree
- Eligibility
- All qualified applicants regardless of background or previous work history are encouraged to apply. Selection is solely based on demonstrated technical skills and expertise.
- Resume
- Required to apply
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Job description
Role Overview
Join a dynamic team as a Data Manager working remotely on a full-time basis, focusing on supporting AI and machine learning systems through rigorous data management. Your primary responsibility will be to ensure data integrity and accuracy by executing manual inspections, correcting errors, annotating data, and validating the datasets used for automated models.
Key Responsibilities
- Conduct detailed manual reviews of AI-produced data to detect errors, inconsistencies, or potential biases
- Modify and annotate data points to enhance machine learning model reliability and accuracy
- Assess datasets based on predefined quality standards and business objectives
- Maintain thorough documentation of data issues and their resolutions for transparency and team knowledge
- Effectively communicate findings and improvement suggestions to cross-functional engineering and product teams
Qualifications and Skills
- Bachelor’s degree in Computer Science, Data Science, or closely related disciplines
- Knowledge of data annotation, labeling, or quality assurance methodologies
- Experience working with spreadsheets, database systems, or tools for data visualization
- Exceptional attention to detail with strong capability to detect inconsistencies in extensive datasets
- Excellent written and oral communication skills for comprehensive reporting of data issues and solutions
Additional Information
This position provides a chance to collaborate with a leading organization in Data Infrastructure and Analytics, contributing toward trustworthy AI development through adherence to responsible data handling and model precision.
Equal Opportunity Statement
The employer is committed to inclusive hiring practices and considers all qualified applicants without regard to background or previous experience. Selection is based entirely on technical competencies and qualifications.
Minimum education
Bachelor's Degree
Industry
Data & Analytics