QA Lead/QA Exec

2 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Agensi Pekerjaan Penta Consultancy Sdn. Bhd Full time


Job Responsibilities:

  • 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.

Job 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.).

Preferred:

  • 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.

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