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MCI

Provides BPO call center outsourcing services

AI Trainer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Linguistics, Communications, Psychology, Computer Science, Information Systems, Data Science, Business, or a related field is required.
  • At least 2 years of experience in AI training, content evaluation, data annotation, quality assurance, research, or a related field is required.
  • Strong written and verbal communication skills are required.
  • Attention to detail and analytical thinking are required.
  • The role requires the ability to evaluate large volumes of content consistently and accurately.
  • Experience following detailed processes, guidelines, and quality standards is required.
  • Problem-solving and critical-thinking skills are required.
  • The role requires comfort working with large datasets and structured information.
  • The ability to provide constructive feedback and recommendations is required.
  • Organizational and time-management abilities are required.
  • Proficiency in Microsoft Office or Google Workspace is required.
  • The role requires effective collaboration with technical and non-technical stakeholders.
  • Applicants must be authorized to work in the country where the job is based.
  • Applicants must be willing to submit to a Level II background and/or security investigation with fingerprinting, where applicable to the program and location.
  • Applicants must be willing to submit to drug screening, where applicable; drug screening does not apply in Canada.
  • Applicants must complete a full application on the company careers page, including all screening questions and a brief pre-employment test.

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.
  • Help create and maintain 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.
  • Assist with creating evaluation frameworks and procedures.
  • Stay informed about developments in AI and generative AI.
  • Recommend improvements to training processes and methodologies.

Desired Qualifications

  • Experience working with Large Language Models (LLMs) is preferred.
  • Experience in AI training, chatbot evaluation, or prompt testing is preferred.
  • Knowledge of generative AI technologies is preferred.
  • Experience with annotation or AI evaluation platforms is preferred.
  • Familiarity with natural language processing concepts is preferred.
  • Experience working within technology, software as a service, or business process outsourcing environments is preferred.
  • Understanding of AI governance and responsible AI principles is preferred.
  • Exposure to machine learning workflows is preferred.

About the Company

MCI

Provides BPO call center outsourcing services

MCI provides business process outsourcing and call center services to a wide range of clients in both B2B and B2C markets. The company handles customer interactions and back-office tasks to improve customer experience, boost efficiency, and reduce client costs. With operations in seven countries and a global team of over 5,000 associates, MCI delivers support at scale across multiple languages and industries. Growth comes from organic expansion and acquisitions, assembling a family of firms that offer complementary services under a single umbrella. MCI’s main differentiators are its global reach, long-term client relationships, and focus on measurable outcomes such as higher customer satisfaction and lower operating expenses. The company’s goal is to help clients streamline their customer-facing processes and back-office operations while driving cost savings and revenue improvements.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$4.2M
Headquarters
Iowa City, IA
Founded
2015

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