Italian Language- Data Annotator- AI Safety Team

7 days ago


Dublin, Dublin City, Ireland Cpl Full time

Italian Language Experts Needed

Do you want to work the Future?

My client needs your expertise for the role of a Data Annotator.

The Role:

  • You will play an important role in assessing and correcting data points, labels and information as well as the output of machine learning classifiers and internal tools.
  • You will be responsible for developing KPIs and quality targets for high-quality classification and content creation and organisation.
  • You will research and provide insights into patterns within annotated data having prompted the LLM with realistic questions in a real -life context. The content generated will be of a sensitive nature.

What we ask for:

The candidate must possess a strong aptitude for working with data and excellent verbal and written communication skills. They will be flexible and analytical with the ability to understand and interpret large datasets and apply predefined guidelines, ensuring the accuracy and quality of annotations.

Essential competencies needed for this role:

  • Fluency in Italian
  • High proficiency in English- C1 Level min as per the CEFR
  • Undergraduate university degree or higher

Benefits:

  • Complementary to your salary, benefits will include a 25% uplift for the hours worked between 10pm and 2am.
  • Performance bonus
  • Meals provided onsite
  • Private healthcare
  • Pension contribution
  • Shift: 6pm -2am- travel allowance of €12 per day + free shuttle bus provided into the city center
  • No shift rotation Mon- Fri- (you may be asked to work a weekend according to business needs)
  • Great career progression within a multi cultural and diverse global company
  • All training provided.

Important: This is an onsite role as you will be dealing with sensitive content.

Candidates must be able to work full time in Ireland (EU passport/Stamp 4/Stamp 1G for a minimum of 1 year)

If this interests you, do contact me on

#LI-SS42 #dataannotators #data_labelling #CplTempJun



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