# Machine Learning Data Specialist

**Company**: WeLocalize
**Location**: CA Client Field Office (San Fran Bay Area)
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://welocalize.wd1.myworkdayjobs.com/en-US/welocalize/job/CA-Client-Field-Office-San-Fran-Bay-Area/Data-Labeling-Associate_R0007638?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ef2f8267-7c3

## Description

We are seeking a Machine Learning Data Specialist to join our team. 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**

- 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.

- 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 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.

- 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.

- Apply basic knowledge of natural language processing and linguistics to data processing tasks.

- Ensure linguistic accuracy in all processed and annotated data.

**Requirements**

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

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

- Excellent communication skills.

- 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.

## Skills

### Required
- machine learning
- data annotation
- quality assurance
- natural language processing
- command-line tools
- data analysis

### Nice to have
- translation
- multi-lingual data sets

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Source: [Apply at welocalize.wd1.myworkdayjobs.com](https://welocalize.wd1.myworkdayjobs.com/en-US/welocalize/job/CA-Client-Field-Office-San-Fran-Bay-Area/Data-Labeling-Associate_R0007638?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)