Data Labelling Engineer
3 days ago
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
Team Introduction
**Responsibilities**:
1. Support data classification and taxonomy methods and standards, understandd business, cooperate with data team. Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
2. Support AI team to improve algorithm recognition and machine learning ability, analyze badcase of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions
3. Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
4. Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual or automated standards
5. Participate in the functional optimization design of the annotation platform
**Qualifications**:
1. Majored in Computer Science or IT related, with research and development in testing, data analyst or DBA experience, familiar with common data storage technologies.
2. Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes
3. Be able to effectively do repetitive tasks and effectively with a minimum of errors
4. Knowledge of artificial intelligence and machine learning. Strong interest is preferred
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
-
Data Labelling Engineer
7 days ago
Singapore MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Full timeRoles & ResponsibilitiesJob Responsibilities:Support data classification and taxonomy methods and standards Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate Support in improving algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels and put...
-
Data Labelling Engineer
1 week ago
Singapore Experis Full timeJob Responsibilities: - Support data classification and taxonomy methods and standards - Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate - Support in improving algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels, put forward suggestions...
-
Data Labelling Engineer
1 week ago
Singapore Experis Full time**Role**: - Support data classification and taxonomy methods and standards, understand business, cooperate with data team. Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate. - Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of algorithm...
-
Junior Data Labelling Engineer
1 day ago
Singapore Experis Full time**Junior Data Labelling Engineer**: - Location- Singapore- Job reference- BBBH129134_1700034266- Salary- S$4500 - S$5500 per month- Consultant name - Rajasekar Shirley Monisha Consultant contact no. - 6232 5244 - EA License No. - 02C3423 - Consultant Registration No. - R22106767 **Responsibilities**: 1. Support data classification and taxonomy methods and...
-
Data Labelling Engineer
1 week ago
Singapore MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Full timeRoles & ResponsibilitiesRole:Support data classification and taxonomy methods and standards, understand business, cooperate with data team. Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate. Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of...
-
Data Labeller
7 days ago
Singapore beBeeDataLabeller Full timeData Labelling SpecialistWe are seeking a skilled Data Labelling Specialist to support our data classification and taxonomy methods. The ideal candidate will have experience in data annotation, machine learning, and artificial intelligence.
-
Data Labeler
2 weeks ago
Singapore Quadrant Resource LLC Full timeIn this role you will do several tasks that require you to research the web for various information and entities to validate data. There will be several projects available in our marketplace at any given time to work on. You will be part of a larger group of people working to analyze data and label it effectively. If you are focused, have good attention to...
-
Data Labelling Analyst
1 week ago
Singapore MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Full timeRoles & ResponsibilitiesJob Responsibilities:Support data classification and taxonomy methods and standards Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate Support in improving algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels and put...
-
Data Labeler
1 week ago
Singapore MSD Full time**Responsibilities**: - Label and annotate data according to predefined guidelines and specifications, ensuring high-quality and accurate labeling. - Categorize and tag data based on specific attributes, features, or classifications, adhering to the requirements. - Collaborate with the team to understand the objectives, guidelines, and quality standards for...
-
Data Annotation/Data Labelling Specialist
1 week ago
Singapore MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Full timeRoles & ResponsibilitiesResponsibilities:Support data classification and taxonomy methods and standards, understand business, cooperate with data team. Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate. Support R&D team to improve algorithm recognition and machine learning ability, analyze...