Performs Urdu-English linguistic quality assurance, arbitration, glossary and translation-memory updates, client feedback implementation, and cultural consultation. Manages language quality processes, documentation, root-cause analyses, quality improvement plans, stakeholder communication, and mentoring. The role requires native or near-native Pakistani Urdu proficiency, excellent US English, localization expertise, and flexibility across content types, including music, video, and sensitive material.
We are seeking an experienced and highly skilled Language Expert – Urdu (Pakistan) to join our team. The ideal candidate will possess a strong linguistic background, expertise in the Urdu-Pakistan language, and the ability to lead projects with a focus on quality and efficiency. The Language expert will oversee linguistic tasks, manage quality assurance, and provide mentorship to linguists while ensuring the delivery of high-quality language services. The applicant should be native Pakistani National who understands the Language in-depth, knows the cultural nuances of the language and have excellent command over English-US, both verbal and written.
Responsibility
- Perform LQA reviews, adhering to quality guidelines and production timelines.
- Handle arbitrations and drive linguistic consensus for optimal results.
- Perform glossary and TM updates within Smartling environment, following the guidelines provided by the quality team.
- Handle Client review (from non-linguists) feedback exchange and implementation.
- Process linguistic feedback from QA testing and implement changes as needed.
- Provide linguistic and cultural consultation as requested by the client.
- Liaise with Language Specialist and translation teams (via emails & meetings) to share constructive feedback and drive overall language quality improvement.
- Liaise with client stakeholders (via emails & meetings) to discuss linguistic matters and offer consultation in a clear & well-substantiated manner.
- Maintain reference materials, training documentation and meeting notes.
- Answer linguistic queries adhering to outlined query management processes.
- Proactively monitor language quality performance via LQA report, take action to address issues in a timely manner, and flag quality risks to the quality team.
- Work on internal and external RCAs and QIPs, as instructed by the quality team.
- Proactively assess and suggest asset improvements, considering their impact on end users as well as the associated effort (time & cost).
- Critically prioritize and track QM tasks based on urgency, impact and client needs, adhering to relevant guidelines and designated time allocation.
Here is a non-exhaustive list of main tasks for this role:
Linguistic tasks:
Quality Management tasks:
Education, Skills and Experience
Education: A Bachelor’s degree in Linguistics, Translation Studies, Language Arts, or a related field.
Experience:
Minimum 5 years of professional experience in translation, localization, or linguistic services.
At least 2 years of experience as a Language Lead or in a Senior Linguist position.
Language Skills: Native or near-native proficiency in Urdu-Pakistan, with excellent command of English (additional language proficiency is a plus).
Technical Skills:
Familiarity with translation and localization tools (e.g., CAT tools, TMS systems).
Strong knowledge of linguistic quality assurance processes.
Soft Skills:
Exceptional attention to detail and problem-solving skills.
Excellent communication and leadership abilities.
Ability to work collaboratively in a multicultural environment.
Preferred Qualifications:
Experience working in the localization/translation industry for global Music Service provider.
Knowledge of Pakistani cultural and regional linguistic nuances.
Certification in translation or localization tools is an advantage.
Must: The candidate must be flexible to work on any type of content (Including sensitive content), music, video, genre, domain etc.
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Own the vision and roadmap for Affirm’s consumer loyalty program, launching rewards, tiers, engagement loops, and redemption experiences. Lead program economics, experimentation, incrementality, LTV measurement, and reward optimization. Partner with Risk, Credit, Legal, Compliance, Finance, Marketing, engineering, and design to deliver compliant products and drive repeat usage, retention, share of wallet, and incremental GMV.
Top Skills:
AmplitudeClaude CodeCursorSQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, Databricks pipelines, Gold Layer tables, semantic models, and AI-enabled data products. Lead complex cross-team initiatives, translate ambiguous business needs into scalable solutions, ensure data quality and reliability, and mentor engineers and analysts. Build, evaluate, and monitor production LLM and agent systems while automating marketing and go-to-market workflows with AI. Partner with BI, Data Science, Marketing, Sales, and R&D teams to support self-service analytics and trusted business KPIs.
Top Skills:
Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEltETLLakehouse ArchitecturesLlmsPythonSalesforceSemantic LayersSnowflakeSQLStreamlit
4 Hours Ago
Easy Apply
Easy Apply
Big Data • Fintech • Mobile • Payments • Financial Services
Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.
Top Skills:
AnalyticsAttributionAustralian Privacy ActCcpa/CpraConsent ManagementCookiesGdprInstrumentationMarketing TechnologyMeasurement SystemsTaggingWeb Experimentation
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
