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Data Labeler/Editor

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A world class web search portal with millions of users per day has a need to perform measurements on web data. The role will require you to put yourself in our users place: to understand their queries and the results, judging which results are best and why. You will be responsible for determining and analyzing what the best results are for certain queries and training others to do this kind of analysis.

To that end, you will be required to have:
1) Excellent copyediting and editorial skills
2) Excellent analytical and decision-making skills
3) Excellent communication skills
4) Demonstrated ability to self-start and complete projects
Nice to have: familiarity with SQL and Excel

We have a constant need to generate new training data for measuring the relative quality of results of the search engine. For that we need web analysts who can provide the necessary human judgment component beyond personal aesthetics and who can communicate their reasoning for their decision of what is most relevant results for a query.

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 broad instruction and generate relevant results.

Group Culture:
High-pace, goal-oriented, driven team. We care about the quality of the product. We need you to work onsite to communicate with the engineering team, but have generally flexible hours (around core business hours) as long as work is completed to quality bar.

Day to Day work:
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, and according to different design treatments
3) Error Reduction Work – Proofreading product titles, descriptions, and images. Doing Internet research to verify whether a search result is correct, or what should have been the right result.
4) Product Matching – grouping similar items, determining when different search features serve the same purpose to the customer and which is working best
5) Light Editorial Work – Writing brief descriptions and instructions around search query analysis, and occasional longer reports of your findings
6) Ad hoc Projects

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