Yext (NYSE: YEXT) is building the next big thing in AI search, and the next big thing is answers.
With the explosion of information and data online, search has never been more important. However, while the world of consumer search has innovated over time, enterprise search has not. In fact, the majority of enterprise search is powered by outdated keyword technology that only scans for keywords and delivers a list of hyperlinks rather than actually answering questions. Yext, the AI Search Company, offers a modern, AI-powered Answers Platform that understands natural language so that when people ask questions about a business online they get direct answers – not links.
We have a big, audacious mission to transform the enterprise with AI search. To achieve that, we need bright minds and diverse perspectives to join our growing company and help us continue to disrupt an industry. Does this sound like you?
Data Labeling, also known as Data Annotation, is an integral part of AI and ML development. Simply put, without annotated data, even the best ML algorithms and models can’t really do much. Annotated data is the key for unlocking ML value by providing the algorithms training and continuous feedback data sets.
Yext is looking for an exceptional candidate to join our Technology Operations team and lead Yext’s Data Labeling operations. This is a unique opportunity to own, develop and manage a team from the ground up. You will be working alongside word-class AI engineers to understand and meet their data labeling needs in order to develop and improve Yext’s cutting edge ML technology.
Our ideal candidate is passionate about building scalable, robust, and efficient operations. Ideally, the candidate will possess some Operations experience combined with data analytics skills. This position is especially suitable for someone who’s interested in partnering closely with Data Science and Product on important projects. While this person need not know SQL and Python, they will be expected to learn these skills on the job and prior experience in either or both is highly desirable.
What You'll Do
- Create assignments, manage access, configure labeling parameters
- Evaluate and plan resource allocation including 3rp party vendor evaluation
- Develop labeling guidelines
- Respond to questions from labelers, answer questions, record lists of historical decisions for future reference
- Run reports to ensure productivity and deadlines
- Assist with technical issues (e.g. VPN problems), work with Desktop as needed
- Develops onboarding materials and processes
- Work closely with Data Science and Product on development of new projects and tasks
What You Have
- Past experience managing complex data-intensive projects using written instructions and processes
- Past experience supporting operational teams
- Interest in learning SQL (could work up from Excel)
- Python scripting capabilities (or strong desire to learn)
- Strong written and visual communication skills (for creating and maintaining guidelines docs and presentations)
- Experience vetting software vendors
- Strong desire to partner with Data Science for cutting edge Machine Learning R&D
- Strong desire to partner with a fast moving product team
- Very good communication skills, experience managing a team of 5-10 individuals working on technical problems
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Yext is committed to building an inclusive and diverse culture where every person is seen, heard and valued. We believe in equal employment opportunity and welcome employees and applicants of all races, colors, ethnicities, religions, creeds, national origins, ancestries, genetics, sexes, pregnancy or childbirth, sexual orientations, genders (including gender identity or nonbinary or nonconformity and/or status as a trans individual), ages, physical or mental disabilities, citizenships, marital, parental and/or familial status, past, current or prospective service in the uniformed services, or any characteristic protected under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a reasonable accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form.