AI Data Quality Analyst (Paradox)
Tasks
- Analyze evaluation results
- Annotate and label data
- Communicate insights risks and recommendations
- Evaluate LLM generated conversations
- Identify quality trends and regressions
- Monitor production data quality
Perks/Benefits
Skills/Tech-stack
Data Annotation | Data Quality | Data labeling | English language | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Quality Assurance | Text Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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