Summary
The role will be responsible for maintaining a high standard of quality in labelling to enhance Linguistics AI model accuracy and drive continuous enhancement
Responsibilities
- Conduct daily sampling tasks for one or multiple projects in your designated language.
- Perform comprehensive data analysis, identify issues, manage appeals, and offer feedback to enhance labeling quality.
- Analyze and provide feedback on guideline updates, identifying areas for improvement and potential gaps.
- Collaborate closely with labeling teams, Project POC (Point of Contact), and Project QA (Quality Assurance) to ensure adherence to labeling quality standards.
- Participate in calibrations with Labeling teams, alongside Project QA, or provide additional details through offline methods when necessary.
- Collaborate with Model Training or Product teams to align and improve labeling guidelines based on language-specific features.
- Engage with various cross-functional teams.
- Contribute to the development of quality inspection standards and continually optimize the process and system platform.
Requirements
- Bachelor's Degree or equivalent education/experience; an advanced degree in linguistic, literature, philosophy, journalism, or political science is preferred.
- Excellent written and spoken English language skills.
- Attention to detail and proficiency in using data analysis to identify trends.
- Strong aptitude for learning, effective cross-department communication, and collaboration skills.
- Ability to work independently with minimal supervision and a well-developed logical and common-sense approach to job tasks.
- Familiarity with office software such as Excel and Word, with a preference for experience in data processing and other data analysis capabilities.
To Apply
If you're interested in this role, click 'apply now'
All Applications will be treated will with strictest confidence.
Samuel Tse
Senior Consultant - Technology
Gateway Search
DID:+65 6727 6129
www.gateway-search.com
EA Licence No: 19C9807 | Registration No: R1223789
