Data Quality Analyst

Visa Hunt; United States; On-site; USD 42,000 - 64,000; Full time

Job summary

Visa Hunt seeks a candidate to support machine learning data pipelines, updating training and test data, annotating data, and conducting quality assurance.

You will work with internal tools and CLI, focusing on English US datasets. Familiarity with NLP and linguistics is a plus as you collaborate with the UX team to report findings and improve model accuracy.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.
• Excellent communication skills.
• Ability to work in a fast-paced, collaborative environment.

Responsibilities

• Update training and test model databases with new or amended synthetic textual and image data.
• Refine machine learning data creation, annotation, and rating guidelines.
• 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.
• Design and develop test and training datasets per project criteria.
• Handle data efficiently, ensuring its integrity throughout the workflow.
• Engage in data relevance tasks, ensuring datasets align with project goals.
• Annotate data accurately, ensuring it adheres to set guidelines.
• Conduct manual quality analysis of model results.
• Report anomalies and document findings for UX review.
• Apply basic NLP and linguistic checks to data processing tasks.

Skills

Command-line tools

Analytical skills

Data annotation

Quality assurance

NLP basics

Linguistics knowledge

Data processing

Education

Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics

Job description

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.

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:

Originally posted on Himalayas