The Slator Language Industry Job Index (LIJI) was developed for the purpose of tracking how employment and hiring activity trends in the global language industry.
In November 2019, the Slator LIJI rose to 106.79 up from 106.02 in October 2019. The baseline was taken to be July 2018 (100), the starting point from which expansion or contraction of employment and hiring activity across the industry was measured.
The index has now climbed for five consecutive months after it dipped slightly in June 2019 to 102.38. Last month, the index jumped by nearly 1.5 points from 104.64 in September 2019 to 106.02 in October 2019.
Partner spotlight
Riding the AI shockwave
The future of AI adoption depends on trust, ethics and human expertise.
The upward trend in November was reflected in most of the indicators used for the LIJI, including the number of job postings on all the job aggregation sites monitored by Slator.
There was a slight decline in the number of people returned using a keyword search for Localization on LinkedIn and in job postings from Slator LSPI companies, which mitigated the overall increase.
Observational data relating to activity across the language industry in the month of October 2019 showed good indicators of a buoyant industry, with M&A and funding activity continuing strongly.
The Slator LIJI relies on LinkedIn for a substantial part of the underlying data. The social media site has some 500 million users, many of whom share data about their skills, experience, location, company, and job title on their personal LinkedIn pages. There are over 600,000 profiles under the Translation and Localization category and a search using the keyword Localization also yields more than 600,000 profiles.
In addition to using data from LinkedIn, the Slator LIJI also culls data from a range of sources, including global job aggregation sites and additional direct company data collected from Slator LSPI companies.
Featured
Partner spotlight
Boost Language Access
Improve health outcomes and ensure compliance for individuals with LEP