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Data Labeler

Remote: 
Full Remote
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Offer summary

Qualifications:

Proven experience in data labeling or data entry is preferred., Strong attention to detail and high accuracy in work., Familiarity with data labeling tools and software is a plus., Basic understanding of machine learning concepts is beneficial..

Key responsabilities:

  • Review and label datasets accurately according to guidelines.
  • Ensure high quality and consistency of labeled data.
  • Collaborate with team members to understand labeling requirements.
  • Identify and report inconsistencies or errors in datasets.

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NeoWork Information Technology & Services Scaleup https://neowork.com/
51 - 200 Employees
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Job description

NeoWork is looking for a meticulous and detail-oriented Data Labeler to join our team. As a Data Labeler, you will play a key role in ensuring the accuracy and quality of the data used in our machine learning models. This position is perfect for individuals who are passionate about data and have a keen eye for detail.

At NeoWork, we are committed to providing top-notch BPO services and data solutions to our clients. Your work will directly contribute to the success of various projects, helping to enhance our clients' operational efficiency through quality data management.

If you are a self-motivated individual with strong attention to detail and a desire to work in a fast-paced environment, we would love to have you on our team!


Responsibilities
  • Review and label datasets accurately according to established guidelines and specifications.
  • Ensure high quality and consistency of the labeled data.
  • Collaborate with data scientists and other team members to understand labeling requirements.
  • Identify and report any inconsistencies or errors in the datasets.
  • Participate in training sessions to improve your labeling skills and knowledge.
  • Maintain organized records of labeled data and manage workflows efficiently.
  • Stay updated on best practices in data labeling and contribute to process improvements.

Requirements

  • Proven experience in data labeling, data entry, or a related field preferred.
  • Strong attention to detail and ability to maintain a high level of accuracy.
  • Familiarity with data labeling tools and software is a plus.
  • Excellent organizational skills and ability to manage multiple tasks.
  • Strong written and verbal communication skills.
  • Ability to work independently and as part of a collaborative team.
  • Basic understanding of machine learning concepts is a plus.
  • Owned computer or laptop and stable internet connectivity.
  • Knowledgeable in using Office 360, Google Apps, and client-facing communication.

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Detail Oriented
  • Communication
  • Time Management

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