Informations de base

Ref Number

Req_00137835

Site principal

PL - Home Office

Pays

Pologne

Types d'emploi

Support Positions

Work Style

Remote

Description et exigences


As a Data Labeller, you will oversee the review and management of user-generated content to ensure it meets company guidelines and quality standards. Your role involves handling administrative and operational tasks to ensure the successful moderation of content while achieving client satisfaction and adhering to company policies. The Data Labeller will act as the primary point of contact for any content-related issues.


REQUIREMENTS

  • Native fluency in Norwegian

  • Familiar with the culture of Norwegian language

  • Experience within data annotation / labelling

  • Great attention to details and strong analytical skills

  • Fast critical thinking

  • Strong time management skills

  • Strong self-organization, decision making with objectivity

  • Resilience - the job involves exposure to disturbing content


Project overview

  • Work Days: Monday - Friday
  • Project duration: 6 months

  • Remote job opportunity, from any place in Poland

  • Work cannot be performed from any other country


RESPONSIBILITIES

  • Review videos and judge videos/accounts in accordance accordingly to processes, policies and guidelines

  • Respond to inquiries regarding Trust & Safety actions, such as abuse reports and enforcement appeals

  • Liaise with different teams to ensure brand safety, monitoring social media and taking appropriate

  • Actions to resolve any situations that may arise during production

  • Make well-balanced decisions based on processes, policies and guidelines, using market specific knowledge



WE OFFER

  • Fully remote job opportunity

  • Employee Assistance Program

  • Stable employment based on contract

  • Multisport card

  • Private medical care

  • Fixed salary and internal bonuses

If this opportunity sounds appealing to you, apply now! 

*Only shortlisted candidates will be contacted/interviewed.

 *Kindly attach an updated Copy of your CV in English.



ABOUT US


AI Data Solutions


Creating and enhancing the world's data to enable better AI via human intelligence.


We help companies test and improve machine learning models via our global AI Community of 1 million+ annotator and linguists. Our proprietary AI training platform handles all data types (text, images, audio, video, and geo) across 500+ languages and dialects. Our AI Data Solutions vastly enhance AI systems across a range of applications from advanced smart products, to better search results, to expanded speech recognition, to more human-like bot interactions and so much more.

 


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.



#LI-DNI

Description supplémentaire du poste


TELUS Digital is looking for a Norwegian Data Labeller to join our new Artificial Intelligence (AI) project.

Langues
Norwegian

EEO Statement

At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
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