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Data Labeler

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PLEASE NOTE: Due to the nature of web searches, you might be exposed to explicit material (i.e. adult/x-rated images or terminology) as part of this project. You will need to sign a waiver to acknowledge this. If this will be a problem for you, please do NOT agree to be submitted.

Our team has a need to perform measurements on search quality within the media devices domain. The role will require you to put yourself in our users place: to understand their queries and the results and judging which results are best and why. You will be responsible for collecting, tagging/labeling contents (web results and documents) for use as index entries to help improve the quality of search results. You will also be verifying and entering data into a database using custom software or tools.

Reason for the work:
We have a constant need to generate new training data for the media domain (music, movies, tv, and games) and measure the results of searches within the media domain. We need web analysts who can provide the necessary human judgment component.

Summary of work to be done:
Analyzing and researching query terms and results to understand the customer’s intent and improve search results creating a better customer experience. Analyst needs to be able to take vague instruction and generate relevant results.
Group Culture:
High-pace, goal oriented, driven team. We care about the quality of the product.
Day to Day work:
Use a judgment tool to analyze and rate search results. Provide feedback in on-going judgment process and guidelines.
1) Query Judgment – Judging relevancy of search results based on query terms. e.g. query “Sears Paint”, judge the following products as perfect match, somewhat relevant or not relevant at all: Paint brush, XYZ paint.
2) Product Categorization – Classify search terms based on a database of set categories.
3) Error Reduction Work – Proofreading product titles, descriptions, and images.
4) Product Matching – grouping similar items
5) Ad hoc Projects
6) Verify fact extraction from written text (e.g. a Wikipedia page) based on a set of rules.

Additional Skills: The ability to self-pace and prioritize work. Exercise a flexible mind-set, trying to understand user intent and achieve agreement among fellow analysts. Attention to detail. Experience in the media space and/or passion around music, movies, games, etc.

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