AI Trainer Lead — Remote Data & QA

YO IT Consulting; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

YO IT Consulting is seeking an AI Trainer Lead to join as a remote, contract-based role. You will train next-generation AI systems by guiding data annotation and evaluation to shape how models learn, reason, and perform through high-quality inputs.

The role emphasizes meticulous rubric-based scoring, cross-domain content review, and actionable feedback for model improvements. A Bachelor's degree and strong communication are required; AI training experience is valued.

Formación

• Excellent attention to detail in data annotation and evaluation.
• Strong reading and analytical skills to apply rubrics.
• Clear written and verbal communication of nuanced feedback.
• Experience evaluating large volumes of content against detailed criteria.
• Experience with AI training or data annotation is highly valued.
• Ability to work independently in a fully remote environment.

Responsabilidades

• 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.

Conocimientos

Attention to detail

Analytical skills

Written and verbal communication

Independent & remote work

Educación

Bachelor's degree

Descripción del empleo

YO IT Consulting is seeking an AI Trainer Lead to join as a remote, contract-based role. You will train next-generation AI systems by guiding data annotation and evaluation to shape how models learn, reason, and perform through high-quality inputs.

The role emphasizes meticulous rubric-based scoring, cross-domain content review, and actionable feedback for model improvements. A Bachelor's degree and strong communication are required; AI training experience is valued.