Description review
Quality Lead – Multilingual Data
Summa Linguae Technologies · Argentina · back to the listing
HR standards
56/100
needs work
Title ↔ description
63/100
needs work
Reads as
Unclear
no confident match
What this role officially is
software tester — ESCO, the EU occupation classification
Software testers perform software tests. They may also plan and design them. They may also debug and repair software although this mainly corresponds to designers and developers. They ensure that applications function properly before delivering them to internal and external clients.
Also known as: application software tester, unit tester, application tester, software application tester, tester, module tester
How others title the same work
Large employers
- Senior Software Quality Engineer Adobe
- Distributed Systems Testing Software Engineer, Python / Go Canonical
- Ubuntu Linux Kernel Test Engineer Canonical
- Distributed Systems Testing Software Engineer, Python / Go Canonical Ltd.
- Ubuntu Linux Kernel Test Engineer Canonical Ltd.
Startups
- Software Engineer, QA & Test Automation AviaryAI
What the listing never says
- 26 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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