Company Overview
Your future is a technology company dedicated to advancing AI capabilities across various domains. They are seeking a meticulous and adaptable AI Annotator/Trainer to join their dynamic team, focusing on enhancing their AI models' understanding of logic, sound, and video data.
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Position Summary
The AI Annotator / AI Trainer will play a crucial role in improving the performance and accuracy of their artificial intelligence systems. You will be responsible for meticulously labeling, categorizing, and validating diverse datasets related to logical reasoning, audio events, and visual content. The ideal candidate possesses strong analytical skills, attention to detail, and a keen interest in contributing to the development of cutting-edge AI technologies.
Key Responsibilities
-Data Annotation: Accurately annotate and label large volumes of data, including:
-Logic Modules: Identify and tag logical relationships, dependencies, and patterns within textual or structured data
-Sound Modules: Classify and segment audio events (e.g., speech, music, environmental sounds) and transcribe relevant audio content.
-Video Modules: Annotate objects, actions, events, and scenes within video footage, including temporal and spatial localization
-Quality Assurance: Review and validate annotated data to ensure high levels of accuracy, consistency, and adherence to guidelines.
-Feedback & Improvement: Provide constructive feedback to improve annotation guidelines, tools, and processes. Identify common errors or ambiguities in data and suggest solutions.
-Model Training Support: Assist in the evaluation and refinement of AI models by identifying model errors and providing insights for improvement.
-Documentation: Maintain clear and concise documentation of annotation guidelines and common issues.
-Collaboration: Work closely with AI Engineers, Data Scientists, and other team members to understand project requirements and contribute to overall AI development goals.
Qualifications
Bachelor's degree in a relevant field (e.g., Computer Science, Linguistics, Media Studies, Cognitive Science, or a related technical discipline) preferred, or equivalent practical experience.
Experience:
-Previous experience in data annotation, data labeling, or quality assurance is highly desirable.
-Familiarity with logical concepts, audio analysis, or video content analysis is a plus.
Skills:
-Exceptional attention to detail and strong analytical skills.
-Ability to follow complex instructions and adapt to changing guidelines.
-Proficiency in using computers and learning new software quickly.
-Strong communication skills, both written and verbal.
-Ability to work independently and as part of a team in a fast-paced environment.
-Basic understanding of AI/Machine Learning concepts is a bonus.
To Apply
Please submit your resume detailing your relevant experience and interest in this role via this job ad or email it to dylan(dot)long@randstad(dot)com(dot)my
