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QA Exec
Job summary
A recruitment consultancy based in Malaysia is seeking a Quality Assurance Team Lead to manage QAs for audio, video, and LLM projects. The ideal candidate will have a Bachelor's degree and 3-5 years of experience in QA or data labeling, with strong analytical and communication skills. Responsibilities include leading a QA team, conducting calibration sessions, analyzing QA reports, and supporting new project launches through quality validation processes. Competitive salary and opportunities for continuous improvement initiatives are offered.
Qualifications
- 3-5 years of experience in data labeling, quality assurance, or content review.
- Track record in managing QA teams and driving performance improvements.
- Familiarity with annotation tools and QA platforms.
Responsibilities
- Lead and manage a team of QAs ensuring quality objectives are met.
- Conduct calibration sessions with QAs, Trainers, and PMs.
- Analyze QA reports and recommend corrective actions.
Skills
Education
Tools
- Lead and manage a team of QAs within the assigned project domain (Audio / Video / LLM), ensuring quality objectives and SLAs are consistently met.
- Develop and standardize QA rubrics, error typologies, and review guidelines based on project-specific annotation requirements.
- Conduct calibration sessions regularly with QAs, Trainers, and PMs to maintain consistent quality interpretations across teams.
- Analyze QA reports and annotation error trends to identify systemic issues and recommend corrective actions.
- Collaborate with Trainers to translate recurring quality gaps into targeted training or retraining plans.
- 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 stakeholders.
- 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.
- Drive continuous improvement initiatives through process standardization, tool optimization, and cross-domain knowledge sharing.
- Ensure data integrity and confidentiality in line with client and internal security requirements.
- Bachelors degree in Linguistics, Data Science, Computer Science, Engineering, or a related field.
- 3~5 years of experience in data labeling, quality assurance, or content review (preferably in AI data operations).
- Proven track record in managing QA teams and driving performance improvements.
- 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.).
- Prior experience in Audio, Video, or LLM annotation quality management.
- Knowledge of process improvement methodologies (Six Sigma, Kaizen, or equivalent).
- Experience designing QA rubrics and calibration frameworks.
- Background in AI data services, MLOps, or data quality governance.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.