About this role
If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact [email protected] subject Workday Candidate Login
When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.
Thank you! NOTICE: For Privacy Policy please review here 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: