Microsoft Responsible Content Specialist Italian 

Ireland, Dublin 

82644275

• Job location: Dublin, Ireland (on-site only)
• Native Italian for Italy (grammar, punctuation, structure and attention to detail).

Required Qualifications:

• Associates degree AND experience working with stakeholders in a project or program
  • OR Bachelor’s Degree
  • OR equivalent experience
• Native language proficiency in Italian and high proficiency in English

Preferred Qualifications:

• Linguistics or computational linguistic background
• Experience in language technology including speech
• Attention to Detail
• Research and Data Analysis

Want to use your language skills to help make better Microsoft products?

• The Responsible Content Specialist performs data annotation and analysis using native language skills and cultural knowledge to capture linguistic nuances with high fidelity.
• Maintains a high level of accuracy, quality, and consistency in data annotation. Works to understand the requirements and specifications of the data annotation projects and creates work instructions based on those requirements.
• Identifies internal opportunities to develop new projects and improve current ones. Recognizes root problems (e.g., root-cause analysis), gathers requirements and evangelizes proposed solutions to broader team.
• Grows ability to track individual success criteria and performance metrics related to quality and throughput etc.
• Cooperates with project leads to execute on landing deliverables.
• Maintains the rhythm of business (ROB) during plan execution to ensure global alignment. Works across teams and centers to ensure all projects/initiative requirements are understood and can be met.
• Adapts communication style and storytelling strategy according to audience and business needs.
• Familiarizes self with guidelines to identify quality problems, and/or discover insights into the data.
• Contributes to the exploration and development of guidelines/work instructions.
• Develops advanced understanding of guidelines and identifies gaps and when they should be used.
• Understands and follows ethics and privacy policies when contributing to development of guidelines.
• Adheres to Microsoft's privacy policy related to utilizing and working with data.
• Maintains high standard of data protection and security, follows standardized processes to prevent any information leakage or breach that could compromise the quality and reliability of products and services and minimizes exposure to risk.
• Demonstrates personal ownership through following Security & Privacy guidelines, immediately reporting incidents using the appropriate channels, and completes all security training.
• Adheres to policy to protect Microsoft and customers.
• Discovers non-conformance and escalates to management.
• Follows individual program guidelines based on corporate policies and processes.

Responsible Content Specialists:

• • Use in house tools to transcribe and annotate data for various projects. A few examples may be providing transcription (text) for audio clips or annotating text or images to verify certain types of data.
  • Go through content (online and offline), extract information, provide needed information through tools with high accuracy and consistency.
  • Perform quality evaluation of transcription and annotation results produced by different sources.
  • Collaborate with team members on day-to-day problem solving and projects assigned by managers.
  • Responsible Content Specialists will come across offensive, sensitive, or objectionable material and may be required to work with this type of content to help train our AI models for the protection of Microsoft’s customers.

Responsible Content Specialists are comfortable understanding data as it relates to :

• • Sentiment: The emotional intonation and other subjective implications behind keywords and phrases.
  • Intent: The human intent, or the user’s end goal, behind different statements. Semantic: Understanding exactly what the meaning is behind what users are seeking.
  • Use deductive reasoning based on information provided in contextual turns to ensure data labelling is of the highest quality.