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Test technician

  • Warsaw, Masovian, Poland, 03

Job Title: Games Language AI Specialist (Test & Tech)

Job Location: Warsaw; France, Berlin, UK (Other EU countries)

Remote Working: Acceptable

Job Description

Lionbridge Games (LG) provides world-class global publishing services to platform holders, AAA game publishers and game developers, and is a leader in AI applications to games content localization services. Lionbridge Games is looking for a motivated Language AI Specialist (Test & Tech) to work as a part of an exciting new Language AI (Games) team that will drive the exploration and operationalization of AI solutions through our games content services.  

 

The Language AI (Games) team will facilitate the rapid implementation of LLM- and AI-based production solutions as fully deployed workflows from technology, organization, process, and skills perspectives. The team will focus on practical implementation of multilingual LLM- and AI-based production solutions, and the exploitation of tools and technology within real-world scenarios. The team will work in a cross-disciplinary and hands-on manner solving challenges collectively, with individual team members providing specialist expertise in core areas.

 

The Language AI Specialist (Test & Tech) provides technical support to the team ranging from localization engineering tasks through to AI model deployment and configuration, and AI application support. As a test specialist she also provides guidance for AI process test design, test data collection and test data analysis.

Responsibilities

The Language AI Specialist (Test & Tech) will participate in all aspects of the Language AI (Games) team responsibilities, adopting many hats in pursuit of the team’s objectives. Notably she will participate in:

 

Team Roles and Responsibilities:

 

  1. Experimental Lab relating to AI production solutions
    1. Exploratory prompt and AI design with a particular focus on ML outcomes
    2. Identification, creation, execution and analysis of test cases
  2. Repository of Expertise relating to AI production solutions
    1. Attend prompt engineering training
    2. Building prompt libraries
    3. Documenting best practices
  3. Training & Mentoring Cadre to production teams
    1. Transfer knowledge throughout the production organization
  4.  Manage AI Pilots and Production for Customers
    1. Design and execute response to customer requests for AI pilots
    2. Design and prepare response to customer requests that have an AI component – support and assist Production teams in their execution.
  5. Collaborate and liaise with Product and R&D teams around a shared roadmap for AI production technology and services.
  6. Work directly with freelance and internal linguists and QE teams to perform punctual tests: QE tests, Linguistic input, etc.

 

Additionally, the Language AI Specialist (Test & Tech) brings expert test and technology support to the team, especially in areas such as:

  • Preparation of content for process ingestion
  • Automation of repetitive tasks
  • Exploration, proposition of new AI models and their capabilities to Product and the team
  • Deployment of new AI models for testing by the team
  • Troubleshooting support to team for AI applications
  • Designing test cases, data collection and analysis for AI process evaluation
  • Reinforcing the team’s “engineering” expertise in relation to complex prompt and AI process design.

Essential Attributes

  • Curiosity about language, process, and technology
  • Team-oriented with a desire to work collectively to achieve the team’s goals
  • Strong self-organizational skills and an ability to execute quickly in a fast-changing environment
  • Familiarity with language and translation challenges, character sets, encoding, file formats and structure, etc.
  • Familiarity text and data transformation processes and the ability to script rapid tooling solutions
  • Familiarity with deployment of third-party AI models, notably in Azure: STT, TTS, LLM
  • Strong test case design skills, understanding of data collection and analysis
  • Good understanding of how to organize and present findings and communicate with non-technical teams


Preferred Experience

  • Degree or higher (master’s or higher appreciated) in a relevant field.
  • High degree of fluency in English, both spoken and written
  • High degree of fluency in at least one other language
  • 4 + years’ experience in software testing, development or engineering role
  • 1+ year using LLM prompts to support daily activities
  • Familiarity with Agile Scrum methodologies

 

 

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