Quality Lead (LoC and Data/AI)
Summa Linguae Technologies · Albania, Andorra, Anguilla, Antigua and Barbuda, Argentina, Aruba, Austria, Bahamas, Barbados, Belarus, Belgium, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Bosnia and Herzegovina, Brazil, Bulgaria, Cayman Islands, Chile, Colombia, Costa Rica, Croatia, Cuba, Cyprus, Czechia, Denmark, Dominica, Dominican Republic, Ecuador, El Salvador, Estonia, Falkland Islands (Malvinas), Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Grenada, Guatemala, Guernsey, Guyana, Haiti, Holy See (Vatican City State), Honduras, Hungary, Iceland, Ireland, Isle of Man, Italy, Jamaica, Jersey, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Mexico, Moldova, Monaco, Montenegro, Montserrat, Netherlands, Nicaragua, North Macedonia, Norway, Panama, Paraguay, Peru, Poland, Portugal, Puerto Rico, Romania, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, San Marino, Serbia, Slovakia, Slovenia, South Georgia and the South Sandwich Islands, Spain, Suriname, Svalbard and Jan Mayen, Sweden, Switzerland, Trinidad and Tobago, Turks and Caicos Islands, Ukraine, United Kingdom, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S., Åland Islands · posted today ago
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About this role
QUALITY LEAD
Important: Multiple Roles
- Quality Lead - Data Solutions/AI (Fulltime) - LATAM
- Quality Lead - Data Solutions/AI (Fulltime) - Europe
- Quality Lead - LoC (With Healthcare focus) - LATAM (Parttime with scope for Fulltime work)
REMOTE WORK: LATAM or Europe
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 or localization, you will be responsible for ensuring the accuracy, consistency, and cultural relevance of data across various data/content related projects.
For Data: 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, in a cost-efficient way, ensuring high standards of linguistic excellence.
- Review and validate content 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
