Customer Services
2 weeks ago
Key Responsibilities
- Ensuring quality objectives and SLAs are consistently met.
- Develop QA rubrics, error typologies, and review guidelines based on project-specific annotation requirements.
- Maintain consistent quality interpretations across teams.
- Analyze QA reports and annotation error trends to identify systemic issues and recommend corrective actions.
- Perform quality audits on both QA and annotator performance to ensure review accuracy and reliability.
- Monitor and report key quality metrics (Accuracy, Consistency, Disagreement Rate, Rejection Rate, etc.) to QA Lead.
- Design and optimize QA sampling strategies to ensure efficient yet effective quality coverage.
- Support new project launches by developing quality validation processes, test datasets, and pilot evaluation rubrics.
- Ensure data integrity and confidentiality in line with client and internal security requirements.
- Act as the domain quality expert and key escalation point for quality-related client or internal concerns.
Requirements:
- Bachelor's degree in Linguistics, Data Science, Computer Science, Engineering, or a related field.
- Minimum 2 years of experience in data labeling, quality assurance, or content review (preferably in AI data operations).
- Strong analytical and problem-solving skills; able to interpret large sets of QA and error data.
- Excellent communication and collaboration skills; able to align QA, training, and delivery stakeholders.
- Familiarity with annotation tools, QA platforms, and performance tracking dashboards (e.g., Airtable, Smartsheet, Jira, Labelbox, etc.).
Job Type: Full-time
Pay: RM5, RM8,000.00 per month
Benefits:
- Health insurance
- Opportunities for promotion
- Professional development
Work Location: In person
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