Data Operations Manager, Anthropic

• Exceptional project management skills with demonstrated ability to handle multiple complex projects simultaneously
• Are extremely detail-oriented with strong organizational skills with the ability to analyze information line-by-line
• Have excellent written and verbal communication skills, with the ability to translate technical requirements into clear instructions
• Experience with data collection, labeling, or analysis in technical environments
• Demonstrate strong problem-solving abilities and can navigate ambiguity effectively
• Are responsive and reliable, with a bias toward action and getting things done
• Have experience with data analysis and can work with tools like SQL, Python, Tableau, spreadsheets, or similar
• Are comfortable working in a fast-paced environment with shifting priorities
• Care about developing safe, beneficial AI systems

Desirable

• As a Data Operations Manager, you'll serve as a key interface between research teams and our human data collection resources, ensuring our projects are executed with speed, quality, and efficiency
• Project Management: Manage end-to-end human data collection projects across multiple research teams, from scoping and planning to execution and quality control
• Operations Support: Work closely with researchers to understand their data needs, translate requirements into clear project specifications, and provide regular updates on project progress
• Project Execution: Write clear labeling instructions, review data, balance quality/diversity/volume requirements, and improve processes for efficiency
• Vendor Coordination: Manage day-to-day relationships with external vendors and contractors for human data projects, ensuring they deliver high-quality results on time
• Quality Oversight: Implement systematic quality controls and verification processes to ensure data usability and trustworthiness
• Task Development: Create clear, effective task instructions and training materials for human data workers
• Continuous Improvement: Identify opportunities to improve efficiency, quality, and cost-effectiveness in our human data collection processes
• Data Analysis: Create project dashboards, data analysis reports, and analyze project metrics to provide insights to researchers and the Human Data Operations team
• Cross-functional Collaboration: Partner with researchers, engineering teams, and other stakeholders to optimize human data collection processes
• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience