Workster is collaborating with a leading tech outsourcing company to recruit a Finnish-speaking Data Annotator for their team in Dublin, Ireland. This role is ideal for individuals with a keen eye for detail and a passion for data accuracy. If you are fluent in Finnish and have experience in data labeling and classification, we encourage you to apply.

Your Responsibilities:

  • Data Labeling: Manually label and classify data to ensure accuracy and consistency.
  • Data Verification: Confirm the integrity of data sets by cross-referencing and validating information.
  • Dataset Development: Create specific data sets aimed at assessing and enhancing data quality.
  • Relevance Evaluation: Assess results based on relevance and user requirements to ensure data meets project standards.
  • Quality Assurance: Review labeled data, making necessary corrections to maintain high-quality standards.
  • Progress Tracking: Maintain records of completed tasks and monitor work progress to meet deadlines.
  • Consistency Maintenance: Ensure uniformity in data labeling across various projects.
  • Process Improvement: Provide suggestions to enhance data labeling practices and workflows.
  • Team Collaboration: Work closely with team members to achieve project goals and deliverables.
  • Issue Analysis: Analyze results to identify issues and propose improvements for data annotation processes.

Your Qualifications:

  • Language Proficiency: Native-level fluency in Finnish (C2 level) and strong proficiency in English, both written and spoken.
  • Communication Skills: Excellent verbal and written communication abilities.
  • Data Annotation Experience: Prior experience in data labeling and classification tasks.
  • Attention to Detail: High level of accuracy and attention to detail in all tasks.
  • Research Skills: Strong research abilities to understand user intentions and behaviors.
  • Time Management: Effective time management skills to meet project deadlines.
  • Analytical Skills: Strong analytical abilities and capacity to follow detailed instructions.
  • Educational Background: Bachelor’s or master’s degree in a relevant field.
  • Technical Proficiency: Proficiency in data analysis using Excel.
  • Transcription Skills: Ability to listen to and transcribe content accurately, encompassing listening, speaking, reading, and writing skills.
  • Domain Knowledge: Familiarity with areas such as audio, text annotation, speech recognition, or natural language processing.
  • Annotation Tools Experience: Experience using annotation tools or platforms is advantageous.

The Offer:

  • Competitive Remuneration: An excellent package based on experience, skills, and performance.
  • Dynamic Team Environment: Be part of a creative and dynamic team with a positive and friendly atmosphere.
  • Health and Life Insurance: Private medical and life insurance coverage.
  • Additional Benefits: Access to the bike-to-work scheme and other perks.
  • Professional Development: Guidance and tools to help you reach your career potential.