Cantonese Language Evaluator

Embedded Shishya; Deutschland; Remote; EUR 40.000 - 52.000; Teilzeit

Zusammenfassung

The Cantonese Language Evaluator role with Embedded Shishya is a remote contractor position contributing to a language-focused AI training project. You will evaluate Cantonese text and speech, provide detailed feedback, and participate in data annotation tasks, shaping how AI models learn and perform.

Your domain knowledge will drive high-quality language data and insights. You will work independently, manage multiple assignments, and adhere to project guidelines to ensure consistent, accurate

Qualifikationen

• Native proficiency in Cantonese with strong written and spoken command.
• Experience in language evaluation, translation, or linguistic annotation.
• Excellent written and verbal communication with keen attention to detail.
• Familiarity with content moderation, transcription, or quality assessment tasks.
• Ability to work independently and manage multiple assignments.

Aufgaben

• Assess Cantonese text and speech data for linguistic accuracy, fluency, and contextual appropriateness using internal tools.
• Provide detailed feedback on model outputs to identify errors, ambiguities, and improvement opportunities.
• Participate in data annotation, labeling, and categorization assignments tailored to NLP development.
• Collaborate with project leads to refine tasks, clarify evaluation criteria, and elevate complex language cases as needed.
• Follow established project guidelines and maintain consistency and quality across all deliverables.
• Document insights and recommendations to support continuous improvement of evaluation processes and system outputs.
• Support ad hoc linguistic quality reviews based on evolving project needs and priorities.

Kenntnisse

Cantonese language proficiency

Language evaluation

Attention to detail

Independent work

Tools

Online evaluation platforms

Jobbeschreibung

Role Title

Cantonese Language Evaluator

Role Type

Contractor

Location

Remote

micro1 is engaging Cantonese Language Evaluators to contribute to a language-focused project supporting a valued customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. As a native Cantonese speaker, you will participate in internal evaluation tasks using micro1's proprietary system, directly impacting the quality and accuracy of language technologies.

Scope of Work

• Assess Cantonese text and speech data for linguistic accuracy, fluency, and contextual appropriateness using internal tools.
• Provide detailed feedback on model outputs to identify errors, ambiguities, and improvement opportunities.
• Participate in data annotation, labeling, and categorization assignments tailored to natural language processing development.
• Collaborate with project leads to refine tasks, clarify evaluation criteria, and elevate complex language cases as needed.
• Follow established project guidelines and maintain consistency and quality across all deliverables.
• Document insights and recommendations to support continuous improvement of evaluation processes and system outputs.
• Support ad hoc linguistic quality reviews based on evolving project needs and priorities.

Preferred Qualifications

• Native proficiency in Cantonese, with strong command of written and spoken forms.
• Demonstrated experience in language evaluation, translation, linguistic annotation, or related language technology projects.
• Exceptional written and verbal communication skills, with keen attention to detail.
• Familiarity with content moderation, transcription, or quality assessment tasks is advantageous.
• Analytical mindset and ability to apply consistent evaluation criteria to diverse language samples.
• Comfort using online platforms and digital evaluation tools for data review and submission.
• Ability to work independently, manage multiple assignments, and meet project deliverables efficiently.