M

MCI

Provides BPO call center outsourcing services

AI Data Annotator

Applied Machine LearningPosted on Nov 5
Full-timePhilippinesNo salary listedIn-person

About the Job

Requirements

  • A diploma or bachelor's degree in Information Technology, Data Science, Linguistics, Business, Communications, or a related field.
  • Experience working with data entry, content review, annotation, or quality assurance activities.
  • Strong attention to detail and accuracy.
  • Excellent written communication skills.
  • Ability to interpret and follow detailed guidelines.
  • Strong organizational and time management skills.
  • Basic understanding of artificial intelligence and machine learning concepts.
  • Proficiency in Microsoft Office or Google Workspace.
  • Ability to work independently and manage deadlines.
  • Strong analytical and problem-solving abilities.
  • Ability to maintain confidentiality and data security standards.
  • Comfort working with large datasets.
  • Must be authorized to work in the country where the job is based.
  • Must be willing to submit to a Level II background and/or security investigation with fingerprinting, subject to the program and location.
  • Must be willing to submit to drug screening, subject to the program and location; this does not apply in Canada.

Responsibilities

  • Create high-quality datasets that support AI model training.
  • Label, categorize, and annotate structured and unstructured data.
  • Follow annotation guidelines and quality standards.
  • Review datasets for accuracy and completeness.
  • Maintain consistency across annotation projects.
  • Support the integrity and effectiveness of training data.
  • Perform quality checks and validation activities.
  • Identify annotation errors and inconsistencies.
  • Escalate data quality concerns when necessary.
  • Participate in calibration and review exercises.
  • Assist in preparing and maintaining AI training datasets.
  • Organize and manage data annotation workflows.
  • Track progress against project timelines.
  • Support dataset updates and maintenance activities.
  • Ensure proper version control and documentation.
  • Work with technical and operational teams.
  • Collaborate with AI trainers and data scientists.
  • Provide feedback on annotation processes.
  • Support continuous improvement initiatives.
  • Participate in team discussions and training sessions.
  • Contribute to the enhancement of annotation practices.
  • Identify opportunities to improve efficiency and accuracy.
  • Support the development of annotation guidelines.
  • Stay informed about artificial intelligence and machine learning developments.
  • Contribute to quality improvement initiatives.

Desired Qualifications

  • Previous AI data annotation experience.
  • Experience working with annotation platforms and tools.
  • Knowledge of natural language processing or generative AI concepts.
  • Exposure to quality assurance processes.
  • Experience reviewing multilingual content.
  • Familiarity with data governance requirements.
  • Experience in business process outsourcing, technology, or digital environments.
  • Understanding of prompt evaluation methodologies.

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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