Octagon Technology Staffing

  • Analytical Linquist

    # of Openings
    Job Location
    Data Analyst
  • Overview

    As an Analytical Linguist, you collaborate with engineers, statisticians, and linguists to evaluate and improve advertising and targeting quality. You assist in training and directing temporary workers, writing instructional guidelines and other documentation, monitoring workflow and resolving problems, managing resources and planning hiring. You work with large amounts of data, designing and implementing procedures for analyzing the quality and reliability of experiment results and of worker output. You help architect experiments to address specific questions about quality, using XML and CSS to create interfaces to run the experiments, and Python to write scripts for data analysis and workforce management. 

    Please note, this is not a software development, translation, or internationalization job. While skills in theoretical or computational linguistics may be useful, you will not work primarily on NLP.


    • Direct, monitor, train, and manage the day-to-day work of temporary workers.
    • Design and implement tests on data and worker quality, analyzing and reporting on the results using Python, XML/CSS, HTML/JavaScript, database queries, and internal technologies.
    • Work directly with engineers and statisticians to devise and run experiments to answer specific questions.


    • BD, MA/MS or PhD degree in an analytical field (e.g., Linguistics, Cognitive Science, Statistics, Mathematics), or equivalent practical experience.
    • Experience with one or more of the following: Python or another scripting language, Java or C++, XML/HTML/CSS/JavaScript, SQL or specialized database query languages and/or specialized analysis software such as Matlab, R, SPSS, STATA, SAS, Praat, or E-Prime.
    • Experience working with large quantities of data.

    Preferred qualifications

    • Experience designing and implementing data-based research experiments.
    • Experience managing, directing, or evaluating the work of others.
    • Experience in crowdsourcing, cloudsourcing, or other outsourcing of work on a large scale.
    • Demonstrated analytical skills and excellent written and oral communication skills.


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