Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role As Data Operations Manager, you will build and scale data operations across research teams working on frontier AI capabilities. You will partner with researchers to design and execute data strategies, manage vendor relationships, and own the data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand high-quality training data, with a focus on strategy and execution.
Impact The data operations you build will directly influence model performance on capabilities such as tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You will work with world-class researchers while building the operational infrastructure to scale these efforts.
We’re seeking someone excited about scaling quality across diverse research areas—someone who understands nuanced technical requirements, builds the right partnerships, and executes flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we’d love to hear from you.
Responsibilities
Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
Design and implement operational systems that translate research requirements into high-quality data pipelines
Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities
You may be a good fit if you
Have 3+ years in operations, consulting, product management, or program management roles
Have exceptional project management skills with ability to handle multiple complex projects simultaneously
Have strong communication skills and can engage effectively with technical and non-technical stakeholders
Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
Are highly organized and can navigate ambiguity effectively
Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
Thrive in fast-paced research environments with shifting priorities
Are passionate about AI safety and understand the critical importance of high-quality data
Strong candidates may also have
Experience with data collection, labeling, or annotation operations for AI/ML systems
Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
Background working with research teams at AI companies or research-oriented organizations
Experience managing vendor relationships or external contractors
Consulting background with experience translating complex requirements into deliverables
Track record of implementing process improvements or quality control systems at scale
Compensation The compensation package for full-time employees includes equity, benefits, and may include incentive compensation. The expected base compensation for this position is
$250,000 - $365,000 USD .
Logistics Education requirements:
We require at least a Bachelor’s degree in a related field or equivalent experience.
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas; however, sponsorship is not guaranteed for every role or candidate. If we extend an offer, we will make reasonable efforts to assist with visa processes.
Application guidance:
We encourage you to apply even if you do not meet every single qualification. We recognize a diverse range of experiences and perspectives strengthens our team.
How we’re different We believe that the highest-impact AI research is large-scale and collaborative. We pursue long-term goals of steerable, trustworthy AI and value impact over narrow problem solving. We emphasize empirical research and strong communication across a collaborative team.
Apply for this job Interested in building your career at Anthropic? We invite you to apply and share how your skills align with our mission.
#J-18808-Ljbffr
About the Role As Data Operations Manager, you will build and scale data operations across research teams working on frontier AI capabilities. You will partner with researchers to design and execute data strategies, manage vendor relationships, and own the data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand high-quality training data, with a focus on strategy and execution.
Impact The data operations you build will directly influence model performance on capabilities such as tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You will work with world-class researchers while building the operational infrastructure to scale these efforts.
We’re seeking someone excited about scaling quality across diverse research areas—someone who understands nuanced technical requirements, builds the right partnerships, and executes flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we’d love to hear from you.
Responsibilities
Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
Design and implement operational systems that translate research requirements into high-quality data pipelines
Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities
You may be a good fit if you
Have 3+ years in operations, consulting, product management, or program management roles
Have exceptional project management skills with ability to handle multiple complex projects simultaneously
Have strong communication skills and can engage effectively with technical and non-technical stakeholders
Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
Are highly organized and can navigate ambiguity effectively
Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
Thrive in fast-paced research environments with shifting priorities
Are passionate about AI safety and understand the critical importance of high-quality data
Strong candidates may also have
Experience with data collection, labeling, or annotation operations for AI/ML systems
Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
Background working with research teams at AI companies or research-oriented organizations
Experience managing vendor relationships or external contractors
Consulting background with experience translating complex requirements into deliverables
Track record of implementing process improvements or quality control systems at scale
Compensation The compensation package for full-time employees includes equity, benefits, and may include incentive compensation. The expected base compensation for this position is
$250,000 - $365,000 USD .
Logistics Education requirements:
We require at least a Bachelor’s degree in a related field or equivalent experience.
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas; however, sponsorship is not guaranteed for every role or candidate. If we extend an offer, we will make reasonable efforts to assist with visa processes.
Application guidance:
We encourage you to apply even if you do not meet every single qualification. We recognize a diverse range of experiences and perspectives strengthens our team.
How we’re different We believe that the highest-impact AI research is large-scale and collaborative. We pursue long-term goals of steerable, trustworthy AI and value impact over narrow problem solving. We emphasize empirical research and strong communication across a collaborative team.
Apply for this job Interested in building your career at Anthropic? We invite you to apply and share how your skills align with our mission.
#J-18808-Ljbffr