Machine Learning Data Associate (MLDA) – Specialist in Chinese
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Job Description
About Company:
Lensa is a career site that helps job seekers find opportunities. They are partnering with Amazon for this specific role.
Job Description:
Amazon’s Customer Engagement Technologies (CET) organization is seeking a Machine Learning Data Associate (MLDA) – Specialist in Chinese to improve Chinese-to-English and English-to-Chinese machine translation. The role focuses on enhancing the quality of real-time translations in text-based customer service channels (email, chat, etc.) to remove language barriers.
Responsibilities:
• Auditing: Review and assess the quality of machine translations in both Chinese-to-English and English-to-Chinese directions. Analyze cross-language customer interactions on text-based channels.
• Identification: Identify high-priority machine translation improvement opportunities to enhance customer experience.
• Optimization: Work with program and product managers to determine opportunities for optimizing quality auditing and machine translation improvement processes.
• Testing: Augment customer experience through product testing.
• Execution: Execute the machine learning roadmap for the product.
• Localization/Translation: Provide native-level translation and localization skills in Chinese.
• Testing various workstreams.
• Contact Reading: Review contact in Chinese, and document in English.
• Stakeholder Management
Key Skills/Qualifications:
• Native Chinese speaker with fluency in English (verbal and written).
• Strong attention to detail and commitment to quality.
• Experience in localization and translation (1+ years).
• Customer service experience
• Adaptability to work in a dynamic environment.
• Exceptional communication skills.
• Ability to interpret customer need and being able to frame that as clear requirements.
Preferred Skills:
• Project planning experience (scoping, deadlines, backlog maintenance, reporting).
• Bachelor’s Degree.
• Practical knowledge of data processing needs and trade-offs.
• Experience working with machine learning, AI, natural language understanding data.
