job description
Are you passionate about data and eager to contribute to cutting-edge AI and machine learning projects? ManpowerGroup is seeking a detail-oriented Data Labelling Engineer to join our dynamic team in Bali. In this role, you will play a crucial part in ensuring the accuracy and quality of labeled datasets, which are essential for training and improving AI models.
As a Data Labelling Engineer, you will work closely with data scientists and AI developers to annotate and categorize data according to specific guidelines. Your meticulous work will directly impact the performance and reliability of AI systems across various industries. This is a fantastic opportunity to gain hands-on experience in the rapidly growing field of artificial intelligence while enjoying the vibrant culture and lifestyle of Bali.
If you have a keen eye for detail, a strong understanding of data structures, and a passion for technology, we invite you to apply and become a part of our innovative team.
Responsibility
- Annotate and label datasets according to established guidelines and standards.
- Ensure the accuracy and consistency of labeled data to improve AI model performance.
- Collaborate with data scientists and AI developers to refine labeling processes.
- Review and validate labeled data to maintain high-quality standards.
- Document labeling procedures and provide feedback for process improvements.
- Stay updated with the latest trends and best practices in data labeling and AI.
- Work efficiently to meet project deadlines and deliver high-quality results.
- Participate in team meetings and contribute to the continuous improvement of data labeling workflows.
Qualifications
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Proven experience in data annotation, labeling, or a similar role.
- Strong attention to detail and ability to follow complex guidelines.
- Familiarity with data structures, algorithms, and basic programming concepts.
- Excellent communication and teamwork skills.
- Ability to work independently and manage time effectively.
- Knowledge of AI and machine learning concepts is a plus.
- Proficiency in using data labeling tools and software.