Fraud Intake Coordinator role at Capital One, providing customer support in fraud and disputes operations. Working from home and engaging with customers remotely.
About the role
- Data Operations Manager at Anthropic building data operations for AI systems. Partnering with research teams to advance AI capabilities with high-quality data pipelines.
Responsibilities
- develop and execute data strategies for coding capabilities, cybersecurity evaluations, and agentic AI research
- partner with research leaders to translate technical requirements into operational frameworks
- build data collection and evaluation systems through internal tools, vendor partnerships, and new approaches
- identify, evaluate, and manage specialized contractors and vendors for technical data collection
- implement quality control processes to ensure data meets training requirements
- manage multiple complex projects simultaneously, balancing technical needs with delivery timelines
- track metrics and communicate progress to stakeholders
Requirements
- 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale
- strong technical foundations - proficiency in Python and understanding of ML workflows and evaluation frameworks
- strong communication skills and can effectively engage with both technical and non-technical stakeholders, both internal and external parties
- familiar with how LLMs work and could describe how models like Claude are trained
- highly organized and can manage multiple parallel workstreams effectively
- high threshold for navigating ambiguity and can balance setting strategic priorities with rapid, high-quality execution
- thrive in fast-paced research environments with shifting priorities and novel technical challenges
- passionate about AI safety and understand the critical importance of high-quality data in building beneficial AI systems
Benefits
- competitive compensation and benefits
- optional equity donation matching
- generous vacation and parental leave
- flexible working hours
- lovely office space in which to collaborate with colleagues
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