AI Trainer

About the role

MCI is seeking a detail-oriented and analytical AI Trainer to join our team. This role supports the development and enhancement of AI systems through structured training and evaluation activities.

Responsibilities

• Support the development and enhancement of AI systems through structured training and evaluation activities.
• Train AI systems using defined methodologies and processes.
• Evaluate AI-generated responses for quality, relevance, and accuracy.
• Identify trends, weaknesses, and areas for model improvement.
• Contribute to the refinement of model behaviors and outputs.
• Support the creation and maintenance of high-quality datasets that support AI training initiatives.
• Develop and review training datasets and examples.
• Collaborate with data annotation teams to ensure quality standards.
• Validate labeled data and training materials.
• Support dataset management and maintenance activities.
• Assist in improving AI performance through prompt analysis and testing.
• Evaluate prompt effectiveness across multiple use cases.
• Identify opportunities to improve AI response quality.
• Support prompt testing and experimentation initiatives.
• Collaborate with prompt engineering teams on optimization efforts.
• Ensure AI systems meet organizational quality expectations.
• Conduct structured evaluations of AI outputs.
• Monitor performance against established benchmarks.
• Document findings and recommendations.
• Support quality improvement initiatives.
• Contribute to the ongoing development of AI training practices.
• Maintain documentation, guidelines, and training standards.
• Aid in creating evaluation frameworks and procedures.
• Stay informed about AI and Generative AI developments.
• Recommend improvements to training processes and methodologies.

Requirements

• Bachelor's Degree in Linguistics, Communications, Psychology, Computer Science, Information Systems, Data Science, Business, or a related field.
• Minimum 2 years of experience in AI training, content evaluation, data annotation, quality assurance, research, or a related field.
• Strong written and verbal communication skills.
• Excellent attention to detail and analytical thinking abilities.
• Ability to evaluate large volumes of content consistently and accurately.
• Experience following detailed processes, guidelines, and quality standards.
• Strong problem-solving and critical-thinking skills.
• Comfortable working with large datasets and structured information.
• Ability to provide constructive feedback and recommendations.
• Strong organizational and time-management abilities.
• Proficiency in Microsoft Office or Google Workspace.
• Ability to collaborate effectively with technical and non-technical stakeholders.

Qualifications

• Nice to Have: Experience working with Large Language Models (LLMs), experience in AI training, chatbot evaluation, or prompt testing, knowledge of Generative AI technologies, experience with annotation or AI evaluation platforms, familiarity with NLP concepts, experience working within technology, SaaS, or BPO environments, understanding of AI governance and responsible AI principles, exposure to machine learning workflows.