Job
Description
Role Overview: As the Senior Manager of AI Data Operations at TaskUs, you will be responsible for overseeing various data collection, creation, and annotation programs essential for cutting-edge AI and machine learning models. Your role will focus on operational excellence, strategic leadership, and innovative thinking to ensure the delivery of high-quality training data that exceeds client expectations. Collaboration with clients, leading global teams, and shaping operational strategies will be key to driving the success of AI initiatives. If you are entrepreneurial, detail-oriented, and passionate about advancing AI systems, thrive in fast-paced environments, and have a constant drive for improvement and innovation, this role is for you. Key Responsibilities: - Leadership in Data Operations: Manage end-to-end execution of data collection, creation, and annotation workflows for diverse data types. - Client Partnership: Collaborate with clients to define project goals and ensure impactful solutions for their AI and machine learning objectives. - Quality and Scalability: Implement scalable systems and processes to ensure the highest data quality tailored to complex AI/ML needs. - Operational Excellence: Lead and develop teams, ensuring alignment with organizational goals and KPIs. - Strategic Problem-Solving: Design creative solutions for evolving client demands. - Thought Leadership: Drive innovation in training data workflows and share insights with clients and industry peers. - Cross-Functional Collaboration: Collaborate with various teams to refine workflows and achieve operational excellence. - Continuous Improvement: Foster a culture of testing, iterating, and scaling processes for efficiency and consistent results. Qualifications Required: - 5+ years of operations management experience with a focus on data annotation, collection, or other AI/ML-related processes. - Proven ability to manage large teams and deliver results in fast-paced environments. - Intermediate familiarity with SQL, Python, R, or other data analysis tools. - Deep understanding of training data workflows, data structures, and scalable operational systems. - Interest in generative AI, large language models, and staying current on advancements in AI/ML. - Exceptional communication and leadership skills. - Analytical mindset with a track record of deriving insights from complex data. - Entrepreneurial spirit and passion for solving ambiguous problems through testing and iteration. - Background in computer science, engineering, data science, or related technical field. Apply now for the Senior Manager of AI Data Operations role at TaskUs through the provided URL to be part of a diverse and inclusive workplace that values innovation and equal opportunities. Role Overview: As the Senior Manager of AI Data Operations at TaskUs, you will be responsible for overseeing various data collection, creation, and annotation programs essential for cutting-edge AI and machine learning models. Your role will focus on operational excellence, strategic leadership, and innovative thinking to ensure the delivery of high-quality training data that exceeds client expectations. Collaboration with clients, leading global teams, and shaping operational strategies will be key to driving the success of AI initiatives. If you are entrepreneurial, detail-oriented, and passionate about advancing AI systems, thrive in fast-paced environments, and have a constant drive for improvement and innovation, this role is for you. Key Responsibilities: - Leadership in Data Operations: Manage end-to-end execution of data collection, creation, and annotation workflows for diverse data types. - Client Partnership: Collaborate with clients to define project goals and ensure impactful solutions for their AI and machine learning objectives. - Quality and Scalability: Implement scalable systems and processes to ensure the highest data quality tailored to complex AI/ML needs. - Operational Excellence: Lead and develop teams, ensuring alignment with organizational goals and KPIs. - Strategic Problem-Solving: Design creative solutions for evolving client demands. - Thought Leadership: Drive innovation in training data workflows and share insights with clients and industry peers. - Cross-Functional Collaboration: Collaborate with various teams to refine workflows and achieve operational excellence. - Continuous Improvement: Foster a culture of testing, iterating, and scaling processes for efficiency and consistent results. Qualifications Required: - 5+ years of operations management experience with a focus on data annotation, collection, or other AI/ML-related processes. - Proven ability to manage large teams and deliver results in fast-paced environments. - Intermediate familiarity with SQL, Python, R, or other data analysis tools. - Deep understanding of training data workflows, data structures, and scalable operational systems. - Interest in generative AI, large language models,
