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Data Annotation Specialist (Multiple Languages - 100% Remote)

Posted 9 weeks ago
Data Analysis
Full Time
Worldwide

Overview

As a Medical Linguistic Specialist at Docplanner, your main focus will be preparing and curating linguistically and medically oriented datasets to power our machine learning and natural language processing (NLP) initiatives.

In Short

  • Prepare and maintain medically oriented datasets for machine learning purposes.
  • Create and refine annotation and labeling conventions.
  • Perform audio transcriptions aligning audio with text.
  • Develop and implement text patterns to detect and extract named entities.
  • Prepare and maintain dictionaries and taxonomies for NLP systems.
  • Evaluate the correctness and accuracy of words and sentences.
  • Supervise the work of annotators and collaborate with technical teams.

Requirements

  • Proficient in English and one or more additional languages.
  • Degree or strong background in linguistics or related field.
  • Familiarity with medical terminology.
  • Hands-on experience with data annotation and transcription.
  • Proficiency in text analysis for NLP purposes.
  • Exceptional attention to detail.
  • Strong interpersonal skills for collaboration.

Benefits

  • Competitive salary appropriate to your experience.
  • Private health plan.
  • Share options plan after 6 months.
  • Free English classes.
  • Hybrid working model.
  • Unlimited access to emotional well-being tools.
  • Free birthday to spend with loved ones.
  • Referral programme rewards.
  • A supportive and welcoming team.
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Docplanner

Docplanner is a leading healthcare technology company that connects patients with healthcare providers through its innovative platform. The company aims to improve the patient experience by offering a comprehensive suite of tools for booking appointments, managing healthcare information, and accessing medical services. With a focus on enhancing the efficiency of healthcare systems, Docplanner is dedicated to making healthcare more accessible and transparent for patients worldwide.

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