“We believe that now is the moment to explore how the underprivileged can learn, work, and contribute in the era of economic transformation with the power of A.I.”
Label Less aims to address poverty and social exclusion among single mothers by offering flexible data labeling jobs and relevant training. This approach empowers them to work at their convenience while taking care of their families. By collaborating with tech companies, academia, and social organizations, Label Less provides a solid foundation for these women to enter the tech industry. Through the promotion of flexible and inclusive employment, we aim to unleash the potential of single mothers, contributing to the development of reliable local AI and machine learning models.

「我們確信現在是探索弱勢群體如何利用人工智慧的力量在經濟轉型時代學習、工作和做出貢獻的好時機。」
Label Less （無標數據）提供靈活的數據標記工作和相關培訓，解決單親母親面對的貧困和社會排斥問題。他們能夠在同時照顧家人同時靈活運用彈性時間工作。透過與科技公司、學術界和社會組織合作，Label Less 為這些女性進入科技產業提供了堅實的基礎。透過促進彈性和包容性就業，我們旨在釋放單親母親的潛力，為開發可靠的本地人工智慧和機器學習模型做出貢獻。

• Data-labelling Training
  數據標籤培訓
• Local Digital Workforce
  本地數碼勞動力
• A.I. Project Consultation
  A.I.頂目咨詢
• Community Engagement
  社區參與

Label Less addresses the pain point of limited job opportunities and skill gaps by equipping single mothers with data labeling skills and providing them with employment opportunities in their home. This approach prepares them for the ongoing economic transformation with the development of A.I.

Meaningful Work : Data labeling tasks can be adapted to accommodate various job demands, providing a sense of accomplishment and contribution.

Financial Security : Earning income through data labeling allows for greater financial independence and reduces reliance on social welfare.

Skill Development : Training in data labeling equips single mothers with valuable skills relevant to the growing AI field, potentially opening doors to future job opportunities.

By focusing on the Hong Kong market and the specific flexible employment needs of single mothers, Label-Less presents a compelling solution to a pressing social issue which echoes the government's Strategy of Targeted Poverty Alleviation.

Label Less 透過提升單親媽媽的數據標註技能，並提供在家工作的就業機會，解決就業機會有限和技能差距的痛點，使他們為隨著人工智慧的發展而進行的持續經濟轉型做好準備。

有意義的工作：完成資料標記任務可以被客戶肯定，提供成就感和滿足感。 財務安全：透過數據標籤賺取收入可以實現更大的財務獨立並減少對社會福利的依賴。 技能發展：數據標籤培訓為單親媽媽提供了與不斷發展的人工智慧領域相關的寶貴技能，可能為未來的就業機會打開大門。

Label Less聚焦在香港市場和單親媽媽靈活就業的具體需求，呼應政府的精準扶貧方向，為緊迫的社會問題提供值得探索的解決方案。