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  <jobs>
    <job>
      <externalid>ef2f8267-7c3</externalid>
      <title>Machine Learning Data Specialist</title>
      <description><![CDATA[<p>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.</p>
<p><strong>Main Tasks &amp; Responsibilities</strong></p>
<ul>
<li>Update training and test model databases with new or amended synthetic textual and image data.</li>
<li>Modify and refine machine learning data creation, annotation, and rating guidelines.</li>
<li>Initiate model training processes using internal tools and command-line interfaces.</li>
<li>Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.</li>
<li>Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.</li>
<li>Handle data efficiently, ensuring its integrity throughout the workflow.</li>
<li>Engage in data relevance tasks, ensuring data sets are aligned with project goals.</li>
<li>Annotate data accurately, ensuring it adheres to set guidelines.</li>
<li>Conduct manual quality analysis of model results.</li>
<li>Recognize error patterns and report anomalies for further investigation.</li>
<li>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.</li>
<li>Implement basic quality control measures and ensure the reliability of processed data.</li>
<li>Utilize intermediate data analysis techniques to extract insights and inform decision-making.</li>
<li>Arbitrate discrepancies effectively, ensuring consistent data quality.</li>
<li>Apply basic knowledge of natural language processing and linguistics to data processing tasks.</li>
<li>Ensure linguistic accuracy in all processed and annotated data.</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>Bachelor&#39;s degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.</li>
<li>Ability to work in a fast-paced, collaborative environment.</li>
<li>Excellent communication skills.</li>
<li>Familiarity with command-line tools and interfaces.</li>
<li>Strong analytical skills with the ability to identify patterns and anomalies.</li>
</ul>
<p><strong>Additional Information</strong></p>
<ul>
<li>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.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">Job Data by <a href="https://yubhub.co">YubHub</a>.</p>]]></description>
      <jobtype>full-time</jobtype>
      <experiencelevel></experiencelevel>
      <workarrangement></workarrangement>
      <salaryrange></salaryrange>
      <skills>machine learning, data annotation, quality assurance, natural language processing, command-line tools, data analysis, translation, multi-lingual data sets</skills>
      <benefits></benefits>
      <licences></licences>
      <category>Data Science</category>
      <industry>Technology</industry>
      <employername>WeLocalize</employername>
      <employerlogo>https://logos.yubhub.co/welocalize.com.png</employerlogo>
      <employerdescription>WeLocalize is a company that provides localization services.</employerdescription>
      <employerwebsite>https://www.welocalize.com</employerwebsite>
      <compensationcurrency></compensationcurrency>
      <compensationmin></compensationmin>
      <compensationmax></compensationmax>
      <compensationinterval></compensationinterval>
      <applyto>https://welocalize.wd1.myworkdayjobs.com/en-US/welocalize/job/CA-Client-Field-Office-San-Fran-Bay-Area/Data-Labeling-Associate_R0007638</applyto>
      <location>CA Client Field Office (San Fran Bay Area)</location>
      <city>CA Client Field Office (San Fran Bay Area)</city>
      <state></state>
      <postalcode></postalcode>
      <country>US</country>
      <postedate>2026-09-09</postedate>
      <visasponsorship>unknown</visasponsorship>
      <visasponsorshiptext><![CDATA[]]></visasponsorshiptext>
      <workauthorisation>unknown</workauthorisation>
    </job>
  </jobs>
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