Data annotator

Role Overview:We are seeking a Lead to manage and mentor a team of analysts who develop structured, business-facing questions and answers across diverse management domains. This role combines leadership, quality oversight, and stakeholder management with subject-matter expertise in MBA-relevant domains.You will ensure that the team’s outputs are accurate, logically sound, linguistically polished, and aligned with project goals—while continuously improving workflows, training, and quality standards.Key Responsibilities:Team Leadership & People ManagementManage a team of Business Analysts/Content Specialists working on LLM model performance.Oversee daily tasks, allocate workloads, and ensure adherence to guidelines and timelines.Conduct performance evaluations, provide constructive feedback, and implement improvement plans.Identify training needs and arrange professional development sessions to maintain excellence in content creation.Operational Excellence & Quality AssuranceConduct regular QA checks, identify process gaps, and refine workflows to enhance quality and efficiency.Oversee daily operations, ensuring timely and within-budget project delivery.Monitor performance metrics and incorporate insights into continuous improvement.Serve as the primary point of contact for stakeholders, providing regular updates to senior management.Ensure alignment between team deliverables and strategic business objectives.Domain-Specific Content Development:Guide the framing of business and strategy questions/answers in domains such as Financial Analysis, Business Intelligence, Government/Public Policy, Sports Analytics, and e-Commerce.Ensure the use of structured file formats (TSV, JSON, HTML, XML, Markdown) in content delivery.Apply analytical reasoning to design high-quality case studies, business problems, and scenario-based datasets.Job Requirements:Proven team leader with 2+ years of direct experience managing teams.3–6 years of relevant experience in content development, business analysis, consulting, or domain-related projects.Strong analytical, logical reasoning, and research skills with excellent English communication abilities.Experience incorporating LLM performance feedback into training data creation is a strong plus.Proficiency in handling structured file types (TSV, JSON, HTML, XML, Markdown).Prior experience in case study writing, academic content, or research assistance is a plus.Ability to commit to 40 hours per week; immediate joiners preferred