Localization Academy

Quoting Specialist

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About Us

LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

While our core AI technology might share similarities with ChatGPT and Google Translate, it’s what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer’s content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer’s existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions.

The Production Team at LILT

LILT’s Production Team is a global workforce, operating across four continents. We are passionate about localization and making information accessible to all. The Team spans project management, program management, quality, and talent management, working with some of the world’s largest organizations.

Working in LILT’s Production Team you will have access to leading tools, collaborative teammates, and opportunities to make a real impact.

Where You’ll Work

This is a remote contract position based out of India or Argentina.

Authorization to work in India or Argentina is a precondition of employment.

What You’ll Do

The Quoting Specialist is responsible for analyzing project requirements and providing accurate and competitive quotes in a timely manner. This role works closely with Production and Revenue teams to support strategic client relationships, optimize workflows, and increase profitability.

We are seeking a detail-oriented and localization-savvy professional with understanding of Desktop Publishing (DTP), Multimedia, E-learning, and file parsing. The ideal candidate will help ensure on-time quote delivery, workflow clarity, and reliable analytics.

Key Responsibilities:

  • Analyze project requirements and provide accurate and competitive quotes and turnaround times for localization projects
  • Use common sense and knowledge of localization processes to extrapolate and provide estimates when time is of the essence rather than exact numbers
  • Reach out to and follow up with Customer Engineering, DTP, and Multimedia departments in case more extensive preparation is required in order to produce a quote
  • Collaborate with the Revenue team to understand project scopes and timelines
  • Review and analyze various file formats to determine localization needs
  • Provide cost estimates and timelines based on project complexity and requirements
  • Maintain up-to-date knowledge of industry trends and best practices in localization, DTP, multimedia, and E-learning
  • Work closely with vendors and in-house teams to ensure accurate and timely delivery of services
  • Learn and understand specific customers’ needs and preferences and document throughputs and trends
  • Prepare and present detailed proposals and quotes to internal clients
  • Follow up on quotes in order to achieve the target acceptance rate
  • Monitor client satisfaction and any increases/decreases in their use of services
  • Apply analytics and critical thinking to improve workflows and increase margins
  • Understand buy and sell rate dynamics to meet Contribution Margin targets
  • Communicate project information to necessary parties in a clear, concise, and professional manner
  • Convey approved customer requests effectively to the Production team

Skills and Experience:

  • Proven experience in localization quoting, specifically with DTP, Multimedia, E-learning, and file parsing
  • Strong understanding of localization processes and industry standards
  • Proficiency in various file formats and ability to parse and analyze them effectively
  • Excellent analytical and problem-solving skills
  • Strong communication and interpersonal skills
  • Ability to work independently and as part of a team
  • Detail-oriented with a strong focus on accuracy and quality
  • Preferred Qualifications:
    • Bachelor’s degree in Translation, Localization, Linguistics, or a related field
    • Familiarity with localization tools and software is a plus
    • Knowledge of multiple languages is an advantage
    • 2-4 years of experience in customer-facing activities related to the localization/translation/project management fields

Our Story

Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT.

At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

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