Crypto.com - Senior Localization Project Associate
In OfficeSeniorAPACCryptocurrencyFintechAssociateCrypto Compliance OfficerProject Management SpecialistProduct MarketingReportingJiraSlackQuality Assurance
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Requirements
- Experience: Minimum of 5 years in Localization Project Management. You know the traditional localization lifecycle and MTPE workflows inside out.
- 5 years
- Tech-Forward Mindset: You are familiar with the concepts of Generative AI and LLMs in localization. You understand how tools like ChatGPT or automated TMS workflows can aid efficiency.
- Tech-Forward Mindset:
- Generative AI and LLMs
- Prompting Basics: Ability to write clear, structured instructions (prompts) to guide AI output or human vendors.
- Prompting Basics:
- TMS Proficiency: deeply experienced with tools like Crowdin, Lokalise, or Smartling.
- TMS Proficiency:
- Operational Excellence: You are highly organized and can manage file versions, Jira tickets, and invoices without losing track of details.
- Operational Excellence:
- Previous exposure to Crypto/Fintech terminology.
- Familiarity with Mobile App localization flows (iOS/Android strings).
- Fluency in a second language (beyond English).
- Basic understanding of how to set up simple automations (e.g., Slack, Jira automations).
Responsibilities
- Coordinate the localization of UI, Marketing, and Help Center content across 30+ languages.
- Manage timelines and hand-offs in our TMS, ensuring files are delivered to linguists or AI workflows correctly.
- Prompting & Context: Apply best practices in prompting to ensure AI-generated content receives the correct context.
- Prompting & Context:
- AI Quality Spot-Checks: Act as the first line of defense by spot-checking LLM outputs for obvious hallucinations or tone inconsistencies before passing them to human editors.
- AI Quality Spot-Checks:
- Feedback Loop: Provide structured feedback to the Localization Manager on how our AI tools are performing.
- Feedback Loop:
- Maintain our central glossaries to ensure both human linguists and AI models have up-to-date terminology.
- Manage the LQA (Linguistic Quality Assurance) process, ensuring that any bugs found in the app are traced back to the source and fixed.
- Support the onboarding of vendors to new workflows, including Post-Editing (MTPE) processes.
- Work with Product Managers to clarify ambiguous English strings so that translations (human or machine) are accurate from the start.
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