仕事内容

Role Overview

This full-time position involves managing human-annotated datasets critical for AI training and evaluation. The Information Manager will oversee data collection, validation, and management processes to guarantee precision and practical usability of the data for further applications.

Key Responsibilities

Maintain and regularly update datasets curated through human annotation to support AI model training and assessment.
Conduct thorough review and validation of data labels ensuring uniformity and high quality across all datasets.
Work collaboratively with multidisciplinary teams to determine data needs and address inconsistencies in annotation.
Create and maintain documentation covering data gathering techniques, labeling protocols, and quality control standards.
Track data workflow performance and introduce enhancements aimed at boosting operational efficiency.

Required Qualifications and Skills

Prior experience in data annotation, validation, or quality assurance is essential.
Proficiency using data labeling platforms such as Label Studio or Prodigy is highly favorable.
Competence with spreadsheets, database systems, or other data management tools is required.
Strong attention to detail paired with the ability to adhere to structured data processing guidelines.
Excellent written communication skills for documenting procedures and instructions effectively.

Additional Information

This opportunity involves working with a global leader in Data Infrastructure and Analytics, contributing to the creation of premium AI training data. The role is instrumental in developing scalable data solutions that enhance AI model performance across various use cases.

Equal Employment Opportunity

Employment selection is based strictly on qualifications and skills without regard to background or prior work history. All applicants meeting the criteria are encouraged to apply.

Compensation

The role offers an hourly pay rate ranging between $40 and $60.

Information Manager (Remote)