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ЙО ИТ-консалтинг

AI Trainer and Evaluator

YO IT Consulting

Remote · Договор

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Опыт
Любой
Зарплата
Открытия
1
Опубликовано
3 дня назад
Режим работы
Работа из дома
Образование
степень бакалавра
Резюме
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Описание работы

Job Overview

As an AI Trainer and Evaluator, you will play a crucial role in enhancing the capabilities of advanced AI models by providing high-quality, real-world data and insightful evaluations. This contract position involves remote work, contributing to the accuracy and effectiveness of AI systems across multiple domains.

Key Responsibilities

  • Assess AI-generated outputs using established scoring rubrics across a variety of subjects.
  • Annotate and label datasets to support improvements in AI model precision and dependability.
  • Ensure content reviewed is relevant, coherent, and factually correct through meticulous attention to detail.
  • Offer clear, constructive feedback to guide AI model refinement efforts.
  • Work collaboratively with client teams to understand guidelines and help refine evaluation rubrics.
  • Maintain detailed documentation of all annotations and evaluations performed.
  • Perform detailed critical analysis of complex topics spanning business, finance, marketing, healthcare, and legal sectors.

Required Qualifications and Skills

  • Sharp eye for detail and commitment to accurate data annotation and content review.
  • Strong critical reading and analytical abilities, with proficiency in applying detailed rubrics.
  • Excellent written and verbal communication skills to convey nuanced feedback.
  • Bachelor's degree is mandatory.
  • Experience in content evaluation or scoring large volumes of data using specific criteria.
  • Prior involvement in AI training, machine learning data labeling, or similar areas is highly desirable.
  • Capability to work both independently and as part of a remote team.

Preferred Experience

  • Educational or professional background in business, finance, legal, marketing, healthcare, or research.
  • Hands-on experience with AI training, human-in-the-loop systems, or AI content quality control.
  • Knowledge of standard annotation tools or AI evaluation software platforms.

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