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AI Trainer Lead

Remote / Online - Candidates ideally in
Abu Dhabi Emirate, UAE/Dubai
Listing for: YO IT Consulting
Remote/Work from Home position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 111600 - 167400 AED Yearly AED 111600.00 167400.00 YEAR
Job Description & How to Apply Below

Job Overview

AI Trainer Lead YO IT Consulting is seeking an experienced AI Trainer Lead for a remote contract role focused on evaluating AI-generated content, guiding annotation quality, and helping improve next-generation artificial intelligence systems.

Location:

United Arab Emirates

Location:

Abu Dhabi Industry: IT and Services Function: AI Training and Data Annotation Salary:  monthly (Market estimated) Gender: Any Candidate Nationality:
Any Candidate Preferred

Location:

Any Job Type: Contract - Remote - work from home

Core Duties
  • Evaluate and score AI-generated responses against detailed rubrics and performance criteria
  • Review content for factual accuracy, relevance, reasoning quality, coherence, and completeness
  • Annotate, classify, and categorize datasets used for AI model training and improvement
  • Guide annotation quality and promote consistent application of evaluation standards
  • Identify recurring model errors, quality gaps, and opportunities for performance improvement
  • Provide clear and actionable written feedback on AI-generated outputs
  • Interpret complex project instructions and support the refinement of scoring rubrics
  • Conduct critical analysis of subject matter across business, finance, healthcare, marketing, legal, and research domains
  • Maintain accurate records of annotations, scores, observations, and quality findings
  • Collaborate with the customer 's remote team to clarify guidelines and resolve evaluation questions
  • Help ensure assigned work meets accuracy, productivity, and delivery expectations
  • Support quality assurance processes for human-in-the-loop AI training projects
Required Skills and Experience
  • Bachelor 's degree in a relevant field
  • Experience evaluating or scoring large volumes of content using detailed criteria
  • Exceptional attention to detail and commitment to annotation accuracy
  • Strong critical reading, reasoning, and analytical abilities
  • Ability to interpret complex rubrics and apply them consistently
  • Excellent written and verbal communication skills
  • Ability to explain nuanced quality issues through concise, constructive feedback
  • Strong organizational skills and accurate record-keeping practices
  • Ability to work independently while collaborating effectively with a distributed team
  • Experience in AI training, machine learning data annotation, content quality assurance, or similar work is highly valued
  • Familiarity with annotation software or AI evaluation platforms is advantageous
  • Professional knowledge of business, finance, law, marketing, healthcare, or research is preferred
  • Previous exposure to human-in-the-loop systems or AI-generated content review is beneficial
Benefits
  • Fully remote and home-based contract work
  • Opportunity to contribute directly to next-generation AI development
  • Exposure to varied and intellectually challenging subject areas
  • Collaboration with international AI and technology teams
  • Practical experience in AI evaluation, data annotation, and model quality assurance
  • Opportunity to apply professional expertise to real-world artificial intelligence projects
Skills

Tags AI training, data annotation, AI response evaluation, rubric development, content scoring, quality assurance, critical analysis, factual accuracy, human-in-the-loop systems, machine learning data, remote collaboration

About the Company

YO IT Consulting connects qualified professionals with global artificial intelligence projects requiring human expertise, careful evaluation, and high-quality data annotation. Through flexible remote opportunities, the company enables specialists worldwide to help train, assess, and improve modern AI systems using practical knowledge from diverse professional fields.

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