Data Labeling Associate

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]](mailto:[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](https://www.welocalize.com/security-compliance/privacy-policy/) **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: