Quality Lead – Multilingual Data

Summa Linguae Technologies; Argentina; Remote; ARS 106,112,000 - 151,589,000; Full time

Job summary

Summa Linguae Technologies seeks a Quality Lead (Data Solutions) to ensure high-quality, culturally relevant multilingual data across AI projects. You will guide QA for data annotation, cleaning, and analysis, impacting end-user experiences and client outcomes.

You will lead linguists and annotators, define language-specific QA strategies, review outputs, and work with stakeholders to embed quality metrics into data workflows.

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.

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.

Skills

Language QA

Data annotation

Multilingual data

Quality assurance

Analytical skills

QA metrics

Issue tracking

Communication

Education

Bachelor's in Linguistics/Translation/Computational Linguistics

Master's preferred

Job description

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.