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Data Labeler

Published on 08.08.2022

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Company

Website : http://www.rws.com
Industries : Not available
Job ads : See our Job Ads
RWS Holdings plc is the world’s leading provider of technology-enabled language, content management and intellectual property services. We... read more

Job Ad & Profile Description

Position : Data Labeler

About RWS:

RWS Holdings plc is the world’s leading provider of technology-enabled language, content management and intellectual property services. We help our customers to connect with and bring new ideas to people globally by communicating business critical content at scale and enabling the protection and realization of their innovations.

Our vision is to help organizations interact effectively with people anywhere in the world by solving their language, content and market access challenges through our collective global intelligence, deep expertise and smart technology.

Customers include 90 of the globe’s top 100 brands, the top 10 pharmaceutical companies and 18 of the top 20 patent filers worldwide. Our client base spans Europe, Asia Pacific, and North and South America across the technology, pharmaceutical, medical, legal, chemical, automotive, government and telecommunications sectors, which we serve from offices across five continents.

Founded in 1958, RWS is headquartered in the UK and publicly listed on AIM, the London Stock Exchange regulated market (RWS.L).

RWS Language & Content Technology division: offering the latest innovations in language and content management technology to help enterprises engage with global audiences – across any device. Our language technology enables enterprises to automate and manage the entire content lifecycle. And our web content and structured content management technology supports the creation, translation and delivery of global content at scale – in ways that are efficient, secure and compliant. The combination of our language and content technology – enhanced with state-of-the art Machine Learning – offers the capability to manage the ‘end-to-end’ translation supply chain. 

About The Role:

We are looking for motivated, enthusiastic and ambitious Data Labelers for one of our world-leading, global IT clients. 

Data labelers are responsible for labeling and annotating user-generated content on our client’s platform, delivering high quality results by following a determined set of instructions. In this role, you will become part of our prestigious AI Community that works on many other exciting machine learning projects, such as: 

  • Data annotation
  • Data collection tasks
  • Data dialogue generation
  • Optical Character Recognition
  • Many more

    If you are passionate about digital technology with a strong interest in Artificial Intelligence, you might be the one we’re looking for!

    Responsibilities: 

  • Labeling of machine learning data.
  • Complete tasks in a timely manner, adhere to deadlines.
  • Work in-sync with Project Managers to meet project goals.
  • Provide feedback to respective teams on process and product improvements.
  • Other duties as assigned. 
Required profile for job ad : Data Labeler

Requirements:

Excellent knowledge of one of the following languages: 

  • Afrikaans
  • Bemba
  • Chewa / Nyanja
  • Chokwe
  • Hausa
  • Igbo
  • Congo / Congo
  • Kimbundu
  • Kinyarwanda
  • Kirundi / Rundi
  • Lingala
  • English/Ganda
  • Malagasy
  • Shona
  • Swahili
  • Tonga / Tsonga
  • Tswana
  • Threshold
  • Xhosa
  • Yoruba
  • Zulu

 

  • Demonstrated written and verbal ability to communicate effectively in English. 
  • Great communication skills. 
  • Desire to be part of a global AI Community.  
  • Dedication and being able to meet deadlines. 
  • Attention to detail. 
  • Ability to react fast to changing business needs. 
  • Proven ability to complete repetitive tasks for extended periods. 
  • Dedication to deliver high-quality results. 
  • Previous data labeling/machine learning experience will be considered a plus. 

Interested? 
If you are the person we are looking for, please submit your application through the link below:

https://bit.ly/RWSDATALABELER

Life at RWS - We work hard together to deliver for our customers; our expertise, professionalism and determination to never let others down drives us to be passionate and serious about what we do, deliver customer value, yet always adding a human touch 

 

As a company focused on connecting people through language, diversity and inclusion are fundamental to our company culture. RWS is an Equal Opportunities Employer and we are committed in ensuring that all employees work in an environment free from all forms of harassment and discrimination and one that actively promotes teamwork, diversity and trust. All employees have a right to be treated with respect and dignity. RWS operate in a manner for the inclusion of all - any form of discrimination is expressly prohibited. Employees are selected and promoted on merit alone and no other factors whether race, gender, age, religion, marital status, gender identity or disability are taken into consideration.

We are proud to work in a company where all can succeed and grow their career and while RWS operates in accordance with all local employment laws, if local law enables any form of discrimination this is against RWS company policy and we will adhere to the highest standard.   

RWS is an Affirmative Action Employer.  Qualified applicants will be evaluated for employment without regard to race, color, religion, sex, national origin, veteran, and disability status.  

Recruitment Agencies : RWS Group PLC does not accept agency resumes .  Please do not forward any unsolicited resumes to any RWS employees . Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void .

Job criteria for job ad : Data Labeler
Job category :
IT, new technologies
Industries :
IT, software engineering, Internet
Employment type :
Freelance - Part-time work
Region :
Central - Copperbelt - Eastern - Luapula - Lusaka - Muchinga - North-Western - Northern - Southern - Western - International
Experience level :
No experience
Educational level :
High school
Number of Position(s) : 100

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