质量负责人 – 多语言数据
Quality Lead – Multilingual Data
职位名称：质量负责人（数据解决方案）
地点：拉美或欧洲
职位数量：2
关于DATAmundi.ai
DATAmundi 是全球高质量数据服务的领导者，包括数据标注、注释、基准测试和数据增强。我们通过为跨多个行业的企业提供可扩展且可靠的数据解决方案，使人工智能创新者能够构建更智能、更安全、更高效模型。
职位概述：
作为专注于数据的质量负责人，您将负责确保各种数据/内容相关项目中数据的准确性、一致性和文化相关性。您的工作将在提升用于人工智能、机器学习和数字产品的多语言数据集质量方面发挥关键作用，直接改善最终用户体验并支持客户目标。
您将领导数据标注、清理和分析等任务的质量保障工作，同时与语言学家、标注员、数据分析师、项目经理、解决方案经理和客户利益相关者合作。
主要职责：
· 在成本效益的前提下，管理多语言数据集的质量流程，确保语言卓越性的高标准。
· 审查和验证标注或清理后的数据，确保其准确性、一致性和文化适宜性。
· 根据每种语言和任务类型实施定制的质量保障策略。
· 对报告的错误进行根本原因分析并提出纠正措施。
· 与标注员、语言学家、供应商管理和QA团队协作，以保持对质量期望的共同理解。
· 支持标注团队的培训和入职，以维持质量基准。
· 进行多语言数据分析，识别趋势、差距和改进机会。
· 与跨职能团队沟通，将语言质量指标整合到更广泛的数据工作流程中。
· 提供反馈以改进与数据任务相关的指南、工具和流程。
· 作为客户利益相关者在质量流程方面的联系人，并根据需要参与业务评审。
资格要求：
· 语言学、翻译、计算语言学或相关领域的学士学位。硕士优先。
· 至少5年语言QA、数据标注、本地化或多语言数据相关工作的经验。
· 精通至少两种语言（除英语外）者优先考虑。
· 具有数据标注工具和多语言数据集的经验。
· 对数据标注流程有深入理解，熟悉质量评估标准。
查看英文原文
Job Title: Quality Lead (Data Solutions)
Location: LATAM or Europe
No. of positions: 2
About DATAmundi.ai
DATAmundi is a global leader in high-quality data services, including data labeling, annotation, benchmarking, and data enrichment. We enable AI innovators to build smarter, safer, and more effective models by delivering scalable and reliable data solutions to enterprises across a range of industries.
Position Summary:
As a Quality Lead specializing in data, you will be responsible for ensuring the accuracy, consistency, and cultural relevance of data across various data/content related projects. Your work will play a critical role in improving the quality of multilingual datasets used in AI, ML, and digital products, directly enhancing the end-user experience and supporting client objectives.
You will lead quality assurance efforts for tasks such as data annotation, cleaning, and analysis while collaborating with linguists, annotators, data analysts, project managers, solutions managers and client stakeholders.
Key Responsibilities:
· Manage quality processes across multilingual datasets, in a cost-efficient way, ensuring high standards of linguistic excellence.
· Review and validate annotated or cleaned data for accuracy, consistency, and cultural appropriateness.
· Implement quality assurance strategies tailored to each language and task type.
· Conduct root cause analysis for reported errors and propose corrective measures.
· Collaborate with annotators, linguists, vendor management and QA teams to maintain a shared understanding of quality expectations.
· Support training and onboarding of annotation teams to maintain quality benchmarks.
· Perform multilingual data analysis to identify trends, gaps, and opportunities for improvement.
· Liaise with cross-functional teams to integrate linguistic quality metrics into broader data workflows.
· Provide feedback to improve guidelines, tools, and processes related to data tasks.
· Act as point of contact for client stakeholders regarding quality processes
and participate in business reviews, as needed.
Qualifications:
· Bachelor's degree in Linguistics, Translation, Computational Linguistics, or a related field. Master's preferred.
· 5+ years of experience in language QA, data annotation, localization, or multilingual data-related roles.
· Proficiency in at least two languages (in addition to English) is highly desirable.
· Experience with data annotation tools and multilingual datasets.
· Strong understanding of linguistic nuances, regional variations, and cultural contexts.
· Exceptional attention to detail and analytical skills.
· Familiarity with QA methodologies, quality metrics, and issue-tracking systems.
· Ability to actively cooperate in projects in a fast-paced, multilingual environment.
Preferred Skills:
· Experience with NLP or machine learning pipelines.
· Knowledge of data cleaning, categorization, or classification techniques.
· Experience working with global teams and managing data-specific QA processes.
· Strong communication skills to convey complex linguistic issues to non-linguists.
Why Join Us:
· Work on cutting-edge projects shaping the future of language technology.
· Collaborate with a diverse and global team of language experts.
· Make a tangible impact on user experiences in a multilingual world.
· Opportunities for growth in a fast-evolving, language-first industry.
Originally posted on Himalayas