
Linguist Analyst (American time zones)
- Remote
- Lisbon, Lisboa, Portugal
- AI Curation
Job description
We are looking for a skilled Linguist Analyst to cope with projects related to Machine Translation Evaluation and MT workflow setup. As part of the Intento AI Curation team, you will have the opportunity to play an active role in supporting global companies as they implement and utilize our AI technology, keeping our customers happy and having room to improve the quality and internal processes to be ahead of the curve.
This is a remote position, and we consider candidates from the American time zones.
About Intento:
Intento is a fast-growing company founded by two PhDs in AI and has gained recognition from industry leaders such as OpenAI and Gartner. With 70+ employees working remotely from locations around the world, our head office is located in California, USA.
Values you can expect from working at Intento:
Work in an exciting, fast-paced startup environment where you can personally influence the company's course.
Transparency of business strategies.
Autonomy, balanced by responsibility.
Solving significant industrial problems.
Gain first-hand experience deploying solutions to Fortune 500 companies.
Get exposed to AI at a unique company while meeting various industry professionals.
Job requirements
Our ideal candidate has:
Hard skills:
Fluent written and spoken English (Upper-Intermediate as a minimum); other languages are a plus.
Strong analytical skills regarding technical and linguistic issues.
Solid understanding of the Python programming language and experience in working with Jupyter Notebooks.
Familiarity with main Python libraries such as Pandas, NumPy, requests, and JSON.
Basic prompt engineering.
Understanding of machine learning, machine translation, and statistics.
Responsibilities:
Running MT evaluations by playbooks using company tools.
Setting up translation workflows combining different AI tools to meet customer needs
Running evaluations in other AI-related areas (text generation, voice recognition, etc.).
Improving evaluation playbooks based on your experience and evaluation results.
Suggesting company tools improvements as business requirements for R&D.
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