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Data Lead

Contextual AIMountain View, California, United StatesOnsite

Why Join Us?


At Contextual, we're building language models that are customizable, scalable, trustable — and cite their sources. The Data Team is responsible for delivering high-quality data that stakeholders across the company can use to evaluate and improve our AI models. We are obsessed with data quality, and your work will directly impact the long-term success of Contextual. If you're up for the challenge, join us!

We’re hiring a new Data Lead. As a Data Lead at Contextual you will:


  • Liaise with internal customers to understand their needs. 
  • Define data requirements and design appropriate datasets.
  • Maintain documentation, including labelling instructions and project overviews.
  • Create and improve data labelling frameworks.
  • Implement and maintain scalable process for managing data requests.
  • Enable, support and hold accountable the work of annotators.
  • Give regular feedback to annotators.

To succeed in this role, you need to have:


  • In-depth understanding of data labelling, particularly data labelling frameworks and taxonomies.
  • Experience in project management and/or relationship management. 
  • Understanding of how AI models work, particularly LMs and RAG.
  • Understanding of commercial applications of LMs and RAG.
  • Basic coding skills for data analysis, including working familiarity with Google Sheets and Python.

You might be a good fit if you are:


  • Excellent at communicating proactively.
  • Good at solving problems and delivering against targets.
  • A natural planner.
  • Detail-oriented.
  • Excited to work in a fast-paced environment and good at meeting tight deadlines.

Location: Mountain View.

Life at Contextual AI

Thrive Here & What We Value1. Equal Employment Opportunity2. Prompt Investigation of Allegations of Discrimination, Harassment, and Retaliation3. Complies with all applicable federal, state, and local fair employment practices laws4. Collaborative and supportive team environment5. Emphasis on quality and attention to detail6. Opportunities for growth and development7. Flexible working arrangements8. Deep empathy for customers and interest in helping them solve problems with generative AI9. Professional Growth1e Equal Employment Opportunity
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