6 часов назад
Localisation Project Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Localisation Project Manager (AI): Managing the full localisation lifecycle for international content with an accent on evaluating AI-generated captions and subtitles (ASR, NMT, LLMs). Focus on designing evaluation methodologies, optimizing workflows, and partnering with engineering teams to drive model improvements.
Location: Onsite in London, England
Company
provides expert instruction and world-class content to create impactful workout experiences for members globally.
What you will do
- Manage the full localisation lifecycle for multiple concurrent projects, prioritizing tasks and mitigating risks.
- Design and implement evaluation methodologies for AI-generated captions and subtitles using metrics like BLEU, TER, and COMET.
- Partner with AI/ML and Engineering teams to drive model improvements and conduct A/B testing.
- Recruit, train, and manage freelance linguists and internal coordinators.
- Oversee translation technology partners and vendors to ensure peak operational health.
- Create and maintain linguistic assets, including glossaries, style guides, and playbooks.
Requirements
- 4+ years of experience as a Localisation Project Manager or 6+ years as a Localisation Producer/Coordinator.
- Strong hands-on experience leading the evaluation of language AI technologies (MT, LLM, ASR, TMS).
- Proficiency with deploying Translation Management Systems (e.g., Smartling, Smartcat).
- Fluent English with excellent interpersonal skills.
- Ability to work onsite in London.
- Proven track record of managing and developing high-performing teams.
Nice to have
- Experience with managing AI-dubbing workflows.
- Fluency in a second language.
- Familiarity with project management tools like Jira or Asana.
- Passion for fitness, wellness, and media production.
Culture & Benefits
- Opportunity to work at the intersection of fitness, media, and cutting-edge AI technology.
- Collaborative environment with cross-functional teams including Engineering and AI/ML.
- Commitment to equal opportunity and inclusive hiring practices.
- Focus on operational excellence and continuous strategic improvement.
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