Remote AI Training Lead — Data Quality & Evaluation

YO IT Consulting; Mexico; On-site; MXN 603,000 - 964,000; 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

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.