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AI Trainer Lead

YO IT Consulting

Remote · 合同

抢先申请

经验
任何
薪水
职位空缺
1
发布
12小时前
工作模式
在家办公
学历
学士学位
恢复
需要申请

职位描述

Job Overview

We are seeking an experienced AI Trainer Lead to join our team remotely. In this contract position, your primary responsibility will be to enhance next-generation AI models by providing high-quality, real-world data inputs that guide their learning, reasoning, and overall performance.

Key Responsibilities

  • Assess AI-generated outputs using established rubrics and quantitative metrics spanning multiple subject areas.
  • Annotate, label, and organize datasets to boost the accuracy and dependability of AI models.
  • Conduct detailed reviews of content to ensure it is relevant, coherent, and factually correct.
  • Deliver precise and constructive feedback to improve AI system behavior continually.
  • Work closely with clients to understand guidelines, assist in refining evaluation rubrics, and align processes with project goals.
  • Keep thorough documentation of all annotations, evaluations, and findings.
  • Engage in comprehensive reading and analysis across complex topics such as business, finance, marketing, healthcare, and legal fields.

Requirements

  • Excellent attention to detail in annotating data and evaluating content quality.
  • Strong analytical and critical reading skills, capable of interpreting and applying detailed evaluation rubrics.
  • Effective written and verbal communication skills with the ability to provide clear, nuanced feedback.
  • Bachelor's degree is mandatory.
  • Proven experience in evaluating or scoring substantial volumes of content according to defined criteria.
  • Valuable experience in AI training, machine learning data annotation, or related activities.
  • Capability to work autonomously as well as collaboratively in a fully remote setup.

Preferred Qualifications

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

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