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.
Where You’ll Work
This is a contract position based out of India or The Philippines with a maximum hourly rate of $15 USD.
Authorization to work in India or The Philippines is a precondition of employment.
What You’ll Do
We seek a Data Analyst who will be responsible for generating dashboards, customer reports, and supporting our business teams on data-driven leadership.
As a Data Analyst, you will help build our growing data analytics vertical and drive company-wide insights that lead to step-function operational improvements. You will partner with leadership and teams from across the business - from production to sales and to finance - to help unpack data problems and build lasting, scalable analytics solutions.
Our ideal candidate is organized, action-oriented, and loves creating insights and data visualizations.
The candidate possesses analytical and technical skills, and is keen to be at the cross section of multiple teams and functions.
Key Responsibilities:
Solve data problems and respond to requests in a timely and efficient manner
Juggle multiple operational tasks across dashboarding, one-off & weekly reporting and forecasting
Work on one-off investigations to resolve high-visibility data problems
Build and maintain core dashboards and queries
Utilize and develop your SQL, Salesforce and Looker Studio skills
Skills and Experience:
2+ years of work experience in an analytical and operational role within a rapidly growing tech company
Highly analytical and data-driven
Experience in SQL, Looker Studio
Sharp attention to detail
Bias towards action
Thrives in a fast-paced, results-oriented environment
Strong work ethic
Experience with Python, Salesforce and other Business Intelligence dashboards is an advantage
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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