Senior Delivery Manager

Summary

Join Turing as a Sr. Delivery Manager to lead and develop a team of 300+ LLM Trainers, overseeing data annotation initiatives. You will manage large-scale projects, ensuring data integrity and high-quality results. This role requires 15+ years of experience in project delivery, a strong technical background in AI and machine learning, and proven leadership skills. Responsibilities include team leadership, project management, data quality assurance, and technical collaboration. The ideal candidate will possess expertise in Python, multimodality, and mathematical analysis. Turing offers a competitive compensation, flexible working hours, and a full-time remote opportunity.

Requirements

• 15+ years of experience in project delivery, with a proven track record of successfully managing large-scale projects and teams
• Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Mathematics, AI, or related disciplines)
• Proven leadership experience managing large teams, with a strong track record of developing high-performing teams
• Deep technical expertise in AI, machine learning concepts, and multimodal data processing
• Proficiency in Python for data analysis, tool development, and process automation
• Strong mathematical skills, with the ability to apply advanced mathematical concepts to data analysis and problem-solving
• Extensive experience in data curation, annotation, and quality control processes
• Strong analytical skills, with the ability to analyze data sets, identify trends, and provide actionable insights
• Excellent communication skills, capable of effectively conveying technical concepts to diverse audiences
• Detail-oriented with a strong focus on delivering high-quality outputs and maintaining rigorous quality standards
• Experience in creating and maintaining documentation for technical processes and training materials
• Passionate about AI, data integrity, and leading teams to success

Responsibilities

• Lead, mentor, and develop a large team of annotators, ensuring they meet and exceed project goals
• Conduct performance analyses, identify areas for improvement, and implement targeted training initiatives
• Foster a culture of excellence, continuous learning, and employee engagement through development programs and performance reviews
• Develop and implement strategies, including gamification, to motivate and recognize high-performing team members
• Collaborate with cross-functional teams (XFN) to define, refine, and communicate project scope, objectives, and quality control guidelines
• Develop accurate project timelines, prioritize tasks, and allocate resources to ensure timely delivery of high-quality outputs
• Identify and address project blockers, adjusting resources and strategies as needed to meet project deadlines
• Maintain active communication with stakeholders, providing regular updates on project progress, challenges, and solutions
• Dive deep into the data annotation process to understand and address inefficiencies and ensure the highest level of data integrity
• Analyze data sets and evaluation results to identify key findings, trends, and anomalies, and communicate actionable insights to relevant teams
• Ensure the security and integrity of data throughout the annotation lifecycle
• Share best practices and lessons learned with the team to promote continuous improvement in data quality and annotation processes
• Work closely with technical teams to develop, refine, and optimize internal tooling that supports efficient and accurate data annotation
• Stay informed of industry trends, emerging technologies, and best practices in AI, machine learning, and multimodal data processing
• Contribute to the development and implementation of innovative strategies to reduce task completion times and improve overall efficiency
• Oversee the creation and maintenance of documentation for technical processes, guidelines, and training materials
• Build and maintain strong relationships with stakeholders across the organization to ensure alignment on project goals and expectations
• Communicate complex technical concepts to both technical and non-technical stakeholders clearly and effectively
• Foster a culture of continuous improvement, encouraging the team to proactively identify and implement process enhancements
• Lead initiatives to incorporate feedback, lessons learned, and industry best practices into the team's workflows
• Collaborate with senior leadership to develop and implement long-term strategies for the data annotation team, aligned with organizational goals
• Identify opportunities for growth and expansion within the team's capabilities, contributing to the overall success of the organization

Preferred Qualifications

• Advanced degree in a relevant field
• Experience with gamification strategies to drive team motivation and performance
• Familiarity with project management tools and methodologies
• Knowledge of the latest multimodal AI technologies and how they can be leveraged to improve data annotation processes

Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity