J

Information Manager

Jobs Ai

Remote · Full Time

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Experience
Any
Salary
USD 40 – USD 60 / hour
Openings
1
Posted
10 hours ago
Work mode
Work from home
Eligibility
Open to all qualified individuals regardless of background; selection based strictly on technical skills and qualifications.
Resume
Required to apply

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Job description

Role Overview

We are seeking a Human Data Manager for a full-time remote position responsible for overseeing the collection, validation, and management of human-annotated datasets to ensure data accuracy and suitability for AI applications.

Key Responsibilities

  • Maintain and update datasets annotated by humans used for training and assessing AI models.
  • Conduct thorough reviews and validate labels to guarantee uniformity and high quality within datasets.
  • Work collaboratively with various teams to determine data needs and resolve inconsistencies in annotations.
  • Create comprehensive documentation covering methods for data collection, guidelines for labeling, and procedures for quality assurance.
  • Track the performance of data pipelines and introduce enhancements to boost operational efficiency.

Required Skills and Qualifications

  • Demonstrated experience in data annotation, quality control, or validation is essential.
  • Familiarity with data labeling tools such as Label Studio or Prodigy is advantageous.
  • Competence with spreadsheets, databases, or data management systems is necessary.
  • Strong attention to detail and capability to adhere to structured protocols for processing data.
  • Excellent written communication skills to effectively document standards and methodologies.

Additional Information

This opportunity allows involvement with a global front-runner in Data Infrastructure and Analytics, contributing to enhanced AI model training datasets and scalable data solutions that elevate model accuracy across diverse applications.

Equal Opportunity Statement

The employer maintains a commitment to nondiscriminatory hiring practices, welcoming all qualified applicants irrespective of background, prior experience, or history, focusing solely on technical skills and qualifications.

How they work

Communication Teamwork & Collaboration Attention to Detail

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