AI Data Annotation Lead

AI Data Annotation Lead

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs.

At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization.

We are seeking an experienced AI Data Annotation Lead to oversee annotation operations that support the development and training of AI and machine learning models. This role is responsible for leading annotation teams, ensuring quality standards are met, and driving operational excellence across data preparation initiatives.

The successful candidate will combine strong people leadership skills with a passion for data quality and AI development.

To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test.

Key Responsibilities:

• Lead data annotation activities that support AI development.
• Manage annotation workflows and production targets.
• Allocate work and resources across annotation projects.
• Ensure project timelines and quality standards are achieved.
• Monitor team productivity and operational performance.

Quality Assurance & Data Integrity:

• Maintain high standards across all annotation activities.
• Develop and enforce annotation guidelines.
• Conduct quality reviews and audits.
• Address quality concerns and implement corrective actions.
• Ensure consistency across annotation teams.

Team Leadership & Development:

• Build and support high-performing annotation teams.
• Coach, mentor, and develop annotation specialists.
• Conduct performance management activities.
• Support recruitment and onboarding initiatives.
• Foster a culture of accountability and continuous improvement.

Stakeholder

Collaboration:

• Partner with technical and operational teams.
• Work closely with AI engineers, trainers, and product teams.
• Translate project requirements into operational plans.
• Communicate progress and challenges to stakeholders.
• Support cross-functional AI initiatives.

Process Improvement & Innovation:

• Drive operational excellence across annotation programs.
• Identify opportunities to improve efficiency and quality.
• Implement process improvements and automation opportunities.
• Support new tool adoption and operational enhancements.
• Contribute to AI data strategy initiatives.

Wonder if you are a good fit for this position? All positive, and driven applicants are encouraged to apply. The ideal candidates for this position are highly motivated and dedicated and should possess the below qualities:

• Bachelor's Degree in Information Systems, Data Science, Business, Operations Management, Communications, or a related field.
• Minimum 4 years of experience in data annotation, content operations, quality assurance, or related fields.
• Minimum 2 years of leadership or supervisory experience.
• Strong understanding of annotation methodologies and quality standards.
• Experience managing operational performance metrics.
• Excellent organizational and project management skills.
• Strong analytical and problem-solving abilities.
• Ability to lead and develop teams.
• Strong communication and stakeholder management skills.
• Experience working with structured processes and operational controls.
• Proficiency in reporting and productivity tools.
• Ability to manage multiple priorities effectively.

Nice to Have:

• Experience supporting AI or machine learning initiatives.
• Knowledge of NLP and Generative AI technologies.
• Experience with annotation platforms and tools.
• Experience with in…