Data Quality Analyst

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

- Update training and test model databases with new or amended synthetic textual and image data.
- Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

- Initiate model training processes using internal tools and command-line interfaces.
- Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

- Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
- Handle data efficiently, ensuring its integrity throughout the workflow.
- Engage in data relevance tasks, ensuring data sets are aligned with project goals.
- Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

- Conduct manual quality analysis of model results.
- Recognize error patterns and report anomalies for further investigation.
- Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
- Implement basic quality control measures and ensure the reliability of processed data.
- Utilize intermediate data analysis techniques to extract insights and inform decision-making.
- Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

- Apply basic knowledge of natural language processing and linguistics to data processing tasks.
- Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

- Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

- Ability to work in a fast-paced, collaborative environment.
- Excellent communication skills

Skills & Knowledge:

- Familiarity with command-line tools and interfaces.
- Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details: