and unambiguous labelling rules to ensure high quality labelling output
- Simplify labelling rules to reduce contextual knowledge for labelling while providing training to labellers if needed
- Ensure that labelling rules meet model training requirements
- Quality improvement and assurance
- Monitor and review quality of labelled data
- Timely root-cause identification of quality issues for remediation
- Identify opportunities and areas of improvement to optimize delivery
- Project management
- Deliver projects on time and on target flagging any key risks that arise
- Deep dive into issues that arise during project lifecycle with solutions that ensure delivery
- Manage stakeholders to drive transparency across the data delivery pipeline
Qualifications
Minimum qualifications:
- Proficient in English and Korean is required. English will be utilized as the primary language for work, while Korean will be used for market specific projects.
- 0-3 years of full-time working experience with data/business analytics education/experience - internships highly valued
- Proficiency in data interpretation and analysis; Interest in AI and Machine Learning concepts, particularly in the field of data annotation
- Excellent verbal and written communication skills for clear and effective communication with both requestors and labellers
- Demonstrates learning agility with strong problem solving skills
- Self-starter who is driven to deliver impactful outcomes
Preferred qualifications:
- Some experience in project management with organizational skills to manage multiple tasks concurrently, preferably in a data environment
- Strong technical skills in Excel, SQL and scripting languages (Python, R) are a plus