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AI Trainer Lead - Remote

  • Source: LinkedIn
  • YO IT Consulting
  • Remote
  • Hyderabad
  • Full-Time
  • Senior

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.
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