> Markdown version of [/jobs/ext/546023-ai-data-annotation-lead](https://www.wearedevelopers.com/jobs/ext/546023-ai-data-annotation-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Annotation Lead - **Company:** Mass Markets - **Location:** United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Agile Methodology, Artificial Intelligence, Cloud Computing, Information Systems, Data Integrity, Machine Learning, Productivity Software, Generative AI, Data Strategy - **Published:** June 14, 2026 - **Apply:** https://www.juju.com/job/00000000g7z8ho ## About the Role The successful candidate will combine strong people leadership skills with a passion for data quality and AI development., 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 within technology, BPO, or shared services environments. + Familiarity with Agile methodologies. + Understanding of AI governance frameworks. + Experience implementing operational improvements. + Exposure to workforce management practices., + Must be authorized to work in the country where the job is based. Subject to the program and location of the position + Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint. Job offers are contingent on background/security investigation results. + Must be willing to submit to drug screening. Job offers are contingent on drug screening results. (Does not apply in Canada) ## Description 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 experiencedAI Data Annotation Leadto 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., Annotation Operations Management + 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., Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment. 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