Dutch-speaking Data Labeller (m / f / d)

Allgemeine Angaben

Standort

PL - Home Office

Land

Polen

Job Kategorien

Support Positions

Work Style

Remote

Jobbeschreibung

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 Dutch

Familiar with the culture of Dutch language

Experience within data annotation / labelling

Great attention to details and strong analytical skills

Fast critical thinking

Strong t ime 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

Multisport card

Private medical care

Career development opportunities

Stable employment based on contract of employment

Employee referral bonuses & Recognition programs

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

IDJob

Zusätzliche Stellenbeschreibung

TELUS Digital is looking for a Dutch Data Labeller to join our Artificial Intelligence (AI) team.

Sprache

Dutch

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.

Ref Number

Req_00152096