AI Data Annotator

About the role

MCI is one of the fastest-growing tech-enabled business services companies in the USA, delivering Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across various industries.

Responsibilities

• Data Annotation & Labeling
• 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.
• Data Quality Assurance
• 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.
• Dataset Management
• 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.
• Collaboration & Feedback
• Work effectively 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.
• Continuous Improvement
• Contribute to the enhancement of annotation practices.
• Identify opportunities to improve efficiency and accuracy.
• Support the development of annotation guidelines.
• Stay informed about AI and machine learning developments.
• Contribute to quality improvement initiatives.

Requirements

• 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 AI 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.
• Comfortable working with large datasets.

Qualifications

• Nice to Have:
• Previous AI data annotation experience.
• Experience working with annotation platforms and tools.
• Knowledge of NLP or Generative AI concepts.
• Exposure to quality assurance processes.
• Experience reviewing multilingual content.
• Exposure to data governance requirements.
• Experience in BPO, technology, or digital environments.
• Understanding of prompt evaluation methodologies.