'Incheon-type Dream Job' Pilot Project... Targeting Low-Income Workers in Labor Blind Spots

Mid-Income 50~75% or Below Rolling Admission

Incheon City Hall

[Asia Economy Reporter Park Hyesook] Incheon City is strengthening the social safety net for low-income groups through the pilot project of the 'Incheon-type Dream Job'.

On the 17th, the city announced that it will conduct the Incheon-type Dream Job pilot project targeting low-income groups in the labor blind spots who cannot participate in self-support work or public work projects due to income exceeding the limit and who have difficulty finding employment due to career interruption.

As the risk of poverty exposure for vulnerable groups has increased due to the prolonged COVID-19 pandemic, Incheon City has prepared a self-help plan for the actual working poor, which is also in line with the campaign promise of the 7th local government administration to establish the 'Incheon Welfare Baseline'.

The Incheon-type Dream Job project targets low-income groups aged 18 to under 65 with an income between 50% and 75% of the median income. Participants will work at institutions linked by the city, and when working 4 to 8 hours a day, 5 days a week, they can receive up to 1,914,440 KRW per month.

Among the 50 recruitment positions, 21 people are currently working at job-providing institutions, and the remaining positions will be offered through occasional recruitment within the budget range.

Applications can be submitted via email or in person by referring to the Incheon Metropolitan Self-Support Center website, and after income verification by the district offices, the Incheon Metropolitan Self-Support Center will select the final participants.

An official from Incheon City said, "This project is being promoted as a pilot project following the Incheon-type self-support project 'Dream Cafe'." He added, "We will prepare a mid- to long-term Incheon-type low-income job plan that meets the needs of low-income groups through performance analysis in the future."

This content was produced with the assistance of AI translation services.