--- About Worksphere At worksphere , we are redefining how businesses connect with their customers worldwide. Our Customer Engagement Technology division builds intelligent, human‑centered solutions that empower customer service teams to deliver seamless, personalized experiences across every touchpoint. From self‑service portals to AI‑driven chatbots, our products are engineered to break down language barriers and enable a truly global workforce. As a leader in the customer experience industry, worksphere is committed to innovation, diversity, and continuous learning. We believe that every employee’s voice matters and that the best ideas come from collaboration across disciplines. If you are passionate about language, data, and making a tangible impact on millions of customer interactions, worksphere is the place for you. Position Overview We are seeking a highly skilled Bilingual Machine Learning Data Associate (MLDA) specializing in Chinese to join our global product team. In this role, you will partner with machine learning engineers, product managers, and customer service leaders to refine our neural machine translation (NMT) system. Your work will directly influence the quality of real‑time translations across email, chat, and chatbot channels, ensuring that language is never a barrier to exceptional service. As a remote team member, you will collaborate with colleagues across time zones, leveraging cutting‑edge tools and data pipelines to audit, analyze, and improve translation quality. Your insights will shape the roadmap for our translation engine, helping worksphere support customers in 39 languages and beyond. Key Responsibilities Translation Auditing Conduct meticulous reviews of Chinese‑to‑English and English‑to‑Chinese translations across multiple channels (email, chat, Message Us, and CS Chatbot). Identify linguistic nuances, cultural references, and contextual errors. Data Analysis & Prioritization Quantify translation quality metrics, surface high‑impact improvement opportunities, and prioritize them based on customer impact and feasibility. Stakeholder Collaboration Work closely with Program Managers, Product Owners, and Customer Service Associates to translate audit findings into actionable product enhancements. Process Optimization Design and iterate on quality‑assurance workflows, including test case creation, automated scoring scripts, and feedback loops. Product Testing & Validation Execute end‑to‑end tests of new translation models, validate performance against real‑world scenarios, and document results for cross‑functional teams. Documentation & Reporting Produce clear, concise reports in English that summarize audit outcomes, recommendations, and progress metrics. Continuous Learning Stay abreast of advances in NMT, natural language understanding, and data‑driven quality improvement techniques. Essential Qualifications Native‑level fluency in Chinese (Mandarin) and advanced proficiency in English (both written and spoken). Minimum of 1 year of professional experience in localization, translation, or language quality assurance. Strong analytical mindset with the ability to interpret large volumes of customer interactions and extract actionable insights. Exceptional attention to detail and a relentless commitment to quality. Excellent communication skills, capable of building trust with cross‑functional stakeholders. Experience working in fast‑paced, dynamic environments where priorities shift rapidly. Customer‑obsessed mindset willingness to dive deep into thousands of interactions to uncover patterns and opportunities. Preferred Qualifications Bachelor’s degree in Linguistics, Computer Science, Data Science, or a related field. Hands‑on experience with machine learning pipelines, data preprocessing, and model evaluation. Familiarity with AWS Translate, Amazon SageMaker, or similar cloud‑based NMT platforms. Project management experience scoping, backlog grooming, deadline setting, and reporting. Knowledge of natural language processing (NLP) concepts such as tokenization, embeddings, and sequence‑to‑sequence models. Prior exposure to customer service or call‑center operations, especially in multilingual contexts. Skills & Competencies Language Proficiency Native Chinese speaker with advanced English communication skills. Data Literacy Comfortable working with structured and unstructured data, using SQL, Python, or similar tools. Problem‑Solving Ability to dissect complex translation issues and propose scalable solutions. Collaboration Proven track record of working effectively with engineering, product, and customer‑service teams. Adaptability Thrive in a remote, distributed environment and adjust to shifting priorities. Customer Focus Deep empathy for end‑users and a drive to improve their experience. Career Growth & Learning Opportunities At worksphere , your career path is shaped by your interests and performance. As an MLDA, you will Progress into senior data‑science roles, leading larger translation projects and influencing product strategy. Transition into product management, shaping the roadmap for global customer engagement solutions. Take on leadership responsibilities, mentoring junior associates and driving cross‑functional initiatives. Access to continuous learning resources internal workshops, external conferences, and a generous budget for certifications. Opportunity to work on cutting‑edge AI research projects, collaborating with top researchers in NLP and machine learning. Work Environment & Culture Our remote team operates with a blend of autonomy and collaboration. You will Participate in weekly stand‑ups and bi‑weekly sprint reviews with global teammates. Use modern collaboration tools (Slack, Jira, Confluence, Zoom) to stay connected. Enjoy flexible working hours that respect your time zone and personal commitments. Be part of a culture that celebrates experimentation, learning from failures, and celebrating successes. Benefit from a supportive community that values diversity, inclusion, and work‑life balance. Compensation & Benefits While specific salary ranges vary by location, worksphere offers a competitive total‑compensation package that includes Base Salary Market‑competitive pay aligned with your experience and role. Equity & Bonuses Potential for stock options and performance‑based bonuses. Health & Wellness Comprehensive medical, dental, and vision coverage for you and your eligible family. Paid Time Off Generous PTO policy, including holidays, vacation, and sick leave. Retirement Plans 401(k) plan with company matching. Parental Leave Flexible maternity and parental leave options. Learning & Development Annual budget for courses, certifications, and conferences. Wellness Programs Access to mental‑health resources, fitness reimbursements, and wellness challenges. Why Join Worksphere? At worksphere , you will Work on products that touch millions of customers worldwide. Collaborate with top talent in machine learning, product, and customer experience. Have the freedom to experiment, fail fast, and iterate on solutions that matter. Be part of a culture that values your voice, encourages growth, and rewards impact. Apply Today Ready to make a difference in global customer engagement? Submit your application through our career portal and join a team that is shaping the future of multilingual customer service. Apply now at