Remote AI Training Lead - Data & Model Quality

YO IT Consulting

Roma

On-site

EUR 34,440 - 55,104

Full time

14 days+
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Job summary

YO IT Consulting is seeking an AI Trainer Lead for a remote contract role. You will apply your expertise to train next-generation AI systems, shaping how models learn, reason, and perform through high-quality input.

Responsibilities include evaluating and scoring AI outputs, annotating data sets, reviewing content accuracy, providing actionable feedback, and collaborating with client teams to refine rubrics. You will work independently in a fully remote setup.

Qualifications

  • Bachelor’s degree required.
  • Experience with AI training or data annotation.
  • Excellent attention to detail.
  • Ability to work remotely and independently.

Responsibilities

  • Evaluate and score AI-generated responses using rubrics and metrics across diverse subject areas.
  • Annotate and categorize data sets to improve AI model accuracy and reliability.
  • Apply keen attention to detail in reviewing content for relevance, coherence, and factual accuracy.
  • Provide clear, actionable feedback on AI performance to inform ongoing model improvements.
  • Collaborate with the customer's team to interpret guidelines and contribute to rubric refinement.
  • Document findings and maintain meticulous records of annotations and evaluations.
  • Engage in critical reading and analysis of complex subject matter ranging from business and finance to marketing, healthcare, and legal domains.

Skills

Attention to detail
Analytical skills
Communication skills
Remote work

Education

Bachelor's degree

Job description

Job Description

Job Title: AI Trainer Lead

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

  • Evaluate and score AI-generated responses using well-defined rubrics and metrics across diverse subject areas.
  • Annotate and categorize data sets to improve AI model accuracy and reliability.
  • Apply keen attention to detail in reviewing content for relevance, coherence, and factual accuracy.
  • Provide clear, actionable feedback on AI performance to inform ongoing model improvements.
  • Collaborate with the customer's team to interpret guidelines and contribute to rubric refinement.
  • Document findings and maintain meticulous records of annotations and evaluations.
  • Engage in critical reading and analysis of complex subject matter ranging from business and finance to marketing, healthcare, and legal domains.

Required Skills And Qualifications

  • Exceptional attention to detail and accuracy in data annotation and content evaluation.
  • Strong critical reading and analytical skills with the ability to interpret and apply rubrics.
  • Proficiency in written and verbal communication; ability to articulate nuanced feedback clearly.
  • Bachelor’s degree required.
  • Experience in evaluating or scoring large volumes of content against detailed criteria.
  • Experience with AI training, machine learning data annotation, or related tasks is highly valued.
  • Ability to work independently and collaboratively in a fully remote environment.

Preferred Qualifications

  • Background in business, finance, legal, marketing, healthcare, or research fields.
  • Prior experience in AI training, human-in-the-loop systems, or quality assurance of AI-generated content.
  • Familiarity with industry-standard annotation tools or AI evaluation platforms.

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