Remote AI Training Lead - Data Quality & Evaluation

YO IT Consulting; Atlanta (GA); Remote; USD 41,328,000 - 82,656,000; Part time

Job summary

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

Responsibilities include evaluating AI outputs, annotating datasets, and providing actionable feedback to improve model performance across diverse domains. Strong detail orientation and remote collaboration are essential.

Qualifications

• Must demonstrate exceptional attention to detail when annotating data and evaluating content.
• Ability to read and apply rubrics and scoring criteria accurately.
• Strong written and verbal communication, with clear feedback.
• Experience in AI training, data annotation, or related tasks is valued.

Responsibilities

• Evaluate and score AI-generated responses using defined rubrics across diverse subjects.
• Annotate and categorize data sets to improve model accuracy and reliability.
• Review content for relevance, coherence, and factual accuracy with meticulous attention to detail.
• Provide clear, actionable feedback to inform model improvements.
• Collaborate with the customer’s team to interpret guidelines and refine rubrics.
• Document findings and maintain records of annotations and evaluations.
• Engage in critical reading of topics from business to healthcare and legal domains.

Skills

Attention to detail

Rubric interpretation

Communication skills

Independent remote work

AI training experience

Content evaluation

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.