AI Trainer Lead - Remote

YO IT Consulting; Mexico; On-site; MXN 602,519 - 964,030; Full time

Job summary

YO IT Consulting is seeking an AI Trainer Lead for a remote contract role. You will guide data annotation and evaluation to enhance how AI models learn, reason, and perform using real-world inputs.

Your work includes scoring AI outputs, annotating datasets, and providing actionable feedback while collaborating with the client’s team to refine rubrics and maintain rigorous records. A strong attention to detail and independent work in a fully remote setting are essential.

Qualifications

• Exceptional attention to detail in data annotation and content evaluation.
• Strong critical reading and analytical skills to interpret rubrics.
• Proficient written and verbal communication; able to articulate nuanced feedback clearly.

Responsibilities

• Evaluate and score AI-generated responses using rubrics and metrics across subject areas.
• Annotate and categorize data sets to improve AI model accuracy.
• Review content for relevance, coherence, and factual accuracy with keen attention to detail.
• Provide clear, actionable feedback on AI performance to inform model improvements.
• Collaborate with the customer’s team to interpret guidelines and refine rubrics.
• Document findings and maintain meticulous records of annotations and evaluations.
• Analyze complex subject matter from business/finance to marketing, healthcare, and legal domains.

Skills

Attention to detail

Critical reading

Communication skills

Independent work

Education

Bachelor’s degree

Tools

Annotation tools

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.