Deskripsi Pekerjaan
Join Sutherland's cutting-edge data labeling team and play a pivotal role in training next-generation AI systems. We're seeking meticulous professionals to support data annotation for global technology platforms, ensuring machine learning models receive high-quality, precisely labeled datasets. This opportunity allows you to directly impact AI development while working with innovative tools and methodologies. As a Data Labelling Agent, you'll contribute to projects spanning computer vision, natural language processing, and autonomous systems. Sutherland provides comprehensive training, career advancement pathways, and a collaborative environment where your attention to detail drives technological innovation. Ideal for detail-oriented individuals passionate about AI's transformative potential, this role offers competitive compensation and the chance to be part of a global leader in digital transformation.
Tanggung Jawab
- Accurately annotate and label diverse datasets according to project specifications and guidelines
- Ensure data quality consistency across all labeling tasks to maintain AI model integrity
- Utilize specialized annotation tools and platforms to perform labeling operations efficiently
- Collaborate with quality assurance teams to resolve labeling ambiguities and improve processes
- Meet daily productivity targets without compromising annotation accuracy standards
- Participate in continuous training programs to master new annotation techniques and tools
- Provide constructive feedback to enhance labeling protocols and project guidelines
Kualifikasi
- High school diploma or equivalent; bachelor's degree preferred in IT, Data Science, or related fields
- Exceptional attention to detail with ability to maintain precision in repetitive tasks
- Strong analytical skills and ability to interpret complex labeling instructions
- Proficiency in computer operations with ability to quickly learn new software tools
- Excellent communication skills for clear documentation of labeling discrepancies
- Previous experience in data annotation, quality control, or similar roles is advantageous
- Ability to work independently and collaboratively in a fast-paced environment
- Basic understanding of machine learning concepts is highly desirable