Data Quality Specialist
Job Description
High-quality AI models are built upon meticulously labeled data. As a Data Quality Specialist, you will be the foundational expert, categorizing and annotating vast amounts of information with precision and consistency, directly enabling AI to learn patterns, recognize entities, and make informed decisions across various domains.
Key Responsibilities
Accurately label and categorize diverse data types, including text, images, audio, and video, according to detailed project guidelines.
Apply specific evaluations such as bounding boxes, semantic segmentation, sentiment tags, or entity recognition.
Maintain high levels of accuracy and consistency in labeling to ensure data quality for AI training.
Identify ambiguities or inconsistencies in data and provide clear feedback to improve guidelines.
Work efficiently to meet daily labeling quotas while maintaining quality standards.
Familiarize yourself with various evaluation tools and platforms as required by different projects.
Ideal Qualifications
Exceptional attention to detail and a meticulous approach to tasks.
Ability to follow complex instructions and apply guidelines consistently.
Comfortable performing repetitive tasks while maintaining focus and accuracy.
Basic computer proficiency and ability to quickly learn new software tools.
Strong work ethic and reliability.
No specific degree required; prior experience in data entry, quality control, or evaluation is a plus.
Project Timeline
Start Date: Immediate openings
Duration: Ongoing, project-based
• Commitment: Flexible hours, 15-25 hours/week
Build the foundation for intelligent AI – apply now!