Job Description

Who are we?\nTECH is the largest digital university in the world. With an impressive catalog of more than 14,000 academic programs available in 11 languages, it is positioned as a leader in employability, with a job placement rate of 99%.\nIt is officially recognized in various countries in America, such as TECH Universidad (Mexico). Likewise, it has a solid presence in Africa, with TECH RUCU University (Tanzania) and TECH Euromed University of Fez (Morocco), and in Europe through TECH Global University (Andorra) and TECH Universidad (Spain).\nThanks to its international focus, TECH has a presence in more than 150 countries and has been recognized twice by the Financial Times as one of the 250 fastest growing companies in Europe in recent years. This has allowed it to be distinguished by Forbes magazine as the best digital university in the world and to become the official university of the NBA, offering exclusive programs taught by prominent managers, coaches and former players of the world's main basketball league.\nIn addition, it has an ivy league teaching staff, at the level of Harvard or Stanford. Its more than 6,000 teachers work in the best companies, organizations and institutions in the world. The largest multinationals (Amazon, Apple, Google, Nike), the best hospitals (Mayo Clinic, MD. Anderson) or the best sports institutions (Boston Celtics, Dallas Cowboys) lend their best professionals to direct TECH's academic programs.\nThe quality of its digital infrastructure and its high educational standard have been recognized by Google with the status of Google Partner Premier 2026, a distinction reserved only for 3% of the largest digital institutions.\nTECH is also considered the best-rated University by its students, with an average rating of 4.9 out of 5 in more than 25,000 public ratings on the main international portals.\nWhat will you do with us?\nDevelop specialized theoretical content, writing clear technical texts on data science, statistics, machine learning and programming.\n\nDevelop practical cases and simulated projects based on real problems in data analysis, predictive modeling or data engineering to encourage critical reasoning of the student.\n\nSynthesize complex information by creating summary tables, code cheat sheets, algorithmic tables and data processing flows.\n\nConceptualize visual schemes, flow diagrams, data architectures and infographics aimed at facilitating the understanding of mathematical, logical and technological infrastructure concepts.\n\nWrite scripts and record training videos, including exact speech and instructions on-screen visuals about problem solving, software use or live code development.\n\nCreate banks of multiple choice test questions, adding justifications and pedagogical feedback based on mathematical foundations and good programming practices for each answer.\nWhat are we looking for?\nHave a university degree in Data Science, Computer Engineering, Mathematics, Statistics or a technological and quantitative area closely linked to the subject taught.\n\nDemonstrate previous experience in writing, design and structuring of curricular content, teaching guides or teaching materials for higher education.\n\nCcredit teaching experience at the university level oriented to the career or area of Data Science.\n\nDemonstrate solid knowledge in the management of academic sources, technical documentation and bibliographic referencing under APA standards applied to the technological and scientific field.\nWhat do we offer?\nContract for services and payment of fees for the topic developed.\n\nYou will collaborate with an entity in full expansion and growth with many long-term projects and opportunities.\n\nA human team that accompanies you, especially at the beginning, so that you adapt quickly and feel part of this collaboration from day one.\n\nIf you are attracted to the world of training, you like writing and you want to participate in this great project.\nWe are waiting for you!\nSomosTECH",