Data Labelling Engineer

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 high-quality data labelling that fuels our AI models, helping us deliver innovative solutions to our clients. Located in the vibrant city of Badung, you'll have the opportunity to work in a collaborative environment while contributing to projects that have a global impact.

As a Data Labelling Engineer at ManpowerGroup, you will be responsible for accurately and efficiently labelling data to meet the specific needs of our machine learning models. You'll work with a variety of data types, including text, images, and audio, using industry-standard tools like Label Studio, Prodigy, or similar platforms. This role offers a unique chance to grow your skills in data annotation while being part of a team that values innovation and excellence.

📋 Tanggung Jawab Pekerjaan

• Accurately label and annotate large datasets for AI and machine learning models using tools like Label Studio, Prodigy, or similar platforms.
• Collaborate with data scientists and AI engineers to understand project requirements and ensure data quality.
• Develop and implement data labelling guidelines and best practices to maintain consistency and accuracy.
• Monitor and improve labelling processes to increase efficiency and reduce errors.
• Participate in team meetings and contribute to the continuous improvement of data labelling workflows.
• Stay updated with the latest trends and technologies in data labelling and AI.
• Ensure compliance with data privacy and security regulations.
• Provide training and support to junior team members on data labelling techniques.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 2-4 years of experience in data labelling or a related role.
• Proficient in using data labelling tools such as Label Studio, Prodigy, or similar platforms.
• Strong attention to detail and ability to work with large datasets accurately.
• Good understanding of machine learning and AI concepts.
• Excellent communication and teamwork skills.
• Familiarity with data privacy and security best practices.
• Ability to work in a fast-paced, collaborative environment.

🛠️ Keahlian

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