Cantonese (Hong Kong) Digital Content Evaluation Specialist
Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION GENERATION: From institutional languages to remote field audio collection. RELEVANCE INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.
Description:
We are excited to invite Cantonese speakers to join our team as Digital Content Evaluation Specialists.In this role, you will set the standard for digital content, specifically for Cantonese as spoken in Hong Kong.Key Responsibility :You will review real-world data to improve the content to the highest quality.The content you will review includes, but is not limited to:- Mobile and smart TV apps
- AI assistant responses
- Music, videos, books, and podcasts
- Are intimately familiar with Cantonese as spoken in Hong Kong
- Love a wide variety of content such as music, movies, TV shows, podcasts, and books
- Always notice issues in digital and streaming content that could easily be fixed
- Regularly use modern technologies like streaming apps, smartphones, smart TVs, and AI
Requirements:
- Native fluency in Cantonese
- Must be located in Hong Kong for at least 5 years
- Must be able to follow directions and provide feedback in English
- Must be able to comply with project conventions and rules noted by the client in English
- Must be able to commit to a minimum of 4 hours of work per week (as data volumes allow)
- Broad cultural literacy and media awareness across generations and demographics
- Understanding of digital content ecosystems and distribution channels
- Understanding of online community dynamics and trends
- Deep interest and knowledge in modern technological developments
Disclaimer
I understand that all time spent on this application, including guidance on how to pass the client exam and be hired on the project, is unpaid. I understand that once hired, inactivity can be cause for removal from the project. I understand I have to equip a laptop or personal computer for this project. Mobile devices are not acceptable for this work. To Apply:Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis. Review the non-disclosure agreement (NDA) information and provide consent in the upcoming questionnaire. Please note that the signatures will not be mandatory. You just need to read and review the document.We encourage applications from students and individuals looking to develop professional evaluation skills while maintaining a flexible schedule.Originally posted on Himalayas
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