AI Data Annotator

MCI Careers • ,

2d • Onsite

About The Position

MCI is a rapidly growing tech-enabled business services company with a strong call center presence and international operations. We offer Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across various industries. Our contact centers utilize both on-site and remote agents, employing advanced technologies to improve customer interactions, scalability, and cost-efficiency. MCI is dedicated to providing an environment where professionals can build careers, access ongoing learning and development, and contribute to a global, industry-leading organization. We are looking for a detail-oriented AI Data Annotator to enhance AI and machine learning models through precise data labeling, classification, and validation. This role is crucial for ensuring AI systems are trained with high-quality datasets, leading to reliable and effective outcomes. The selected candidate will collaborate closely with AI engineers, data scientists, and quality teams to maintain data accuracy and consistency. To be considered, a full application on our company careers page, including screening questions and a brief pre-employment test, is required.

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.

Nice To Haves

• 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.
• Familiarity with data governance requirements.
• Experience in BPO, technology, or digital environments.
• Understanding of prompt evaluation methodologies.

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 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level