Data Operations Manager, Human Data
Anthropic · San Francisco, CA | New York City · Onsite
Anthropic
Anthropic is an AI safety and research company founded in 2021 by former OpenAI executives, including siblings Dario and Daniela Amodei, who left to pursue a more safety-focused approach to building powerful AI systems. Its flagship product, the Claude family of large language models, competes directly with OpenAI's GPT series and Google's Gemini, and has become widely used in enterprise and developer settings, particularly for coding and reasoning tasks. The company positions itself distinctly within the AI industry by emphasizing interpretability and alignment research alongside commercial deployment, framing itself as a lab racing to build capable frontier models while trying to ensure they remain steerable and beneficial as capabilities scale.
Gig description
About 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'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute 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 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic. com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic. com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Requirements to meet
Disclaimer
Suggestions only — review each course yourself to judge whether it meets the role's requirements. Completing a course doesn't guarantee proficiency or that you'll qualify; hiring standards vary by employer.
Skills required
Machine Learning (required)
GapCourses that may help you meet this requirement:
Leverage AI tools and resources for your business
Microsoft Learn · beginner · Free · 42m · ★ 4.8
This course covers Machine Learning, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 1 hours.
Introduction to DevOps principles for machine learning
Microsoft Learn · beginner · Free · 33m · ★ 4.7
This course directly covers Machine Learning, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 1 hours.
Intro to Machine Learning
Kaggle Learn · beginner · Free
This course directly covers Machine Learning, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level.
Agentic Workflows (required)
GapCourses that may help you meet this requirement:
AI Agents and Agentic AI with Python & Generative AI
Coursera · beginner · $49/mo · 11h · ★ 4.6
This course directly covers Agentic Workflows, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 11 hours.
Understand features of Copilot Studio agents
Microsoft Learn · beginner · Free · 54m
This course covers Agentic Workflows, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 1 hours.
Secure AI agents and workloads on Windows
Microsoft Learn · beginner · Free · 35m
This beginner course is recommended to help close the Agentic Workflows skill gap for the Data Operations Manager, Human Data role, based on its direct relevance to that skill area.
Python (required)
GapCourses that may help you meet this requirement:
PySpark & Python: Hands-On Guide to Data Processing
Coursera · beginner · $49/mo · 5h · ★ 4.4
This course directly covers Python, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 5 hours.
Data Analysis with Python
freeCodeCamp · beginner · Free
This course directly covers Python, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level.
Pandas
Kaggle Learn · beginner · Free
This beginner Pandas course helps build foundational Python skills relevant to the Data Operations Manager, Human Data role, addressing the identified Python skill gap.
SQL (required)
GapCourses that may help you meet this requirement:
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers SQL, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 0 hours.
Explore fundamental relational data concepts
Microsoft Learn · beginner · Free · 37m · ★ 4.8
This course covers SQL, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 1 hours.
Get started with data concepts
Microsoft Learn · beginner · Free · 37m · ★ 4.8
This beginner course introduces foundational data concepts that can help build the groundwork needed to develop SQL skills required for the Data Operations Manager, Human Data role.
Analytics (required)
GapCourses that may help you meet this requirement:
Explore core data concepts
Microsoft Learn · beginner · Free · 35m · ★ 4.8
This course covers Analytics, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 1 hours.
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers Analytics, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 0 hours.
Data Analysis with Python
freeCodeCamp · beginner · Free
This course covers Analytics, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level.
Tableau (required)
GapCourses that may help you meet this requirement:
Data Visualization with Tableau
Coursera · beginner · $49/mo · 26h · ★ 4.7
This course directly covers Tableau, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 26 hours.
Fundamentals of Visualization with Tableau
Coursera · beginner · $49/mo · 7h · ★ 4.5
This course directly covers Tableau, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 7 hours.
Data Visualization in Tableau: Create Dashboards and Stories
Coursera · intermediate · Price on site · 2h · ★ 4.5
This course directly covers Tableau, which appears as a requirement in the Data Operations Manager, Human Data posting at an intermediate level and can be completed in approximately 2 hours.
Product Management (required)
GapCourses that may help you meet this requirement:
Digital Product Management: Modern Fundamentals
Coursera · beginner · $49/mo · 10h · ★ 4.7
This course directly covers Product Management, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 10 hours.
IBM AI Product Manager Professional Certificate
Coursera · beginner · $49/mo · 126h · ★ 4.7
This course directly covers Product Management, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 126 hours.
Generative AI for Product Managers Specialization
Coursera · intermediate · $49/mo · 36h · ★ 4.7
This course covers Product Management, which appears as a requirement in the Data Operations Manager, Human Data posting at an intermediate level and can be completed in approximately 36 hours.
Program Management (required)
GapCourses that may help you meet this requirement:
Program Strategy, Governance and AI-Enabled Decision Making Specialization
Coursera · beginner · $49/mo · 34h · ★ 4.7
This course directly covers Program Management, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 34 hours.
Introduction to Program Management
Coursera · beginner · $49/mo · 7h · ★ 4.7
This course directly covers Program Management, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 7 hours.
Streamline nonprofit program management with Microsoft Copilot
Microsoft Learn · beginner · Free · 25m
This beginner course directly addresses the Program Management skill gap for the Data Operations Manager role by covering core program and management concepts in a quick, focused format.
Operations (required)
GapCourses that may help you meet this requirement:
Get started with data concepts
Microsoft Learn · beginner · Free · 37m · ★ 4.8
This beginner course covers operations concepts, directly addressing the Operations skill gap required for the Data Operations Manager, Human Data role.
Introduction to Operations Management
Coursera · beginner · $79/mo · 16h · ★ 4.5
This course directly covers Operations, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 16 hours.
Service Operations Management
Coursera · beginner · $49/mo · 11h
This course directly covers Operations, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 11 hours.
Large Language Models (required)
GapCourses that may help you meet this requirement:
Leverage AI tools and resources for your business
Microsoft Learn · beginner · Free · 42m · ★ 4.8
This course covers Large Language Models, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 1 hours.
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers Large Language Models, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 0 hours.
Use AI for everyday tasks
Microsoft Learn · beginner · Free · 43m
This beginner course on using AI for everyday tasks helps build foundational familiarity with Large Language Models, addressing a key skill gap for the Data Operations Manager, Human Data role.
AI Safety (required)
GapCourses that may help you meet this requirement:
AI Engineering Specialization
Coursera · intermediate · $49/mo · 40h · ★ 4.5
This course directly covers AI Safety, which appears as a requirement in the Data Operations Manager, Human Data posting at an intermediate level and can be completed in approximately 40 hours.
Configure and manage guardrails in Microsoft Foundry
Microsoft Learn · intermediate · Free · 48m
This course directly covers AI Safety, which appears as a requirement in the Data Operations Manager, Human Data posting at an intermediate level and can be completed in approximately 1 hours.
Reinforcement Learning (required)
GapCourses that may help you meet this requirement:
Unsupervised Learning, Recommenders, Reinforcement Learning
Coursera · beginner · $49/mo · 30h · ★ 4.9
This course directly covers Reinforcement Learning, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 30 hours.
Generative AI with Large Language Models
Coursera · intermediate · $49 · 17h · ★ 4.8
This course covers Reinforcement Learning, which appears as a requirement in the Data Operations Manager, Human Data posting at an intermediate level and can be completed in approximately 17 hours.
Generative AI Advanced Fine-Tuning for LLMs
Coursera · intermediate · $49/mo · 9h · ★ 4.4
This course covers Reinforcement Learning, which appears as a requirement in the Data Operations Manager, Human Data posting at an intermediate level and can be completed in approximately 9 hours.
ETL (required)
GapCourses that may help you meet this requirement:
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers ETL, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 0 hours.
The Path to Insights: Data Models and Pipelines
Coursera · advanced · $49/mo · 17h · ★ 4.7
This course covers ETL, which appears as a requirement in the Data Operations Manager, Human Data posting at an advanced level and can be completed in approximately 17 hours.
Integrate data with Azure Data Factory
Microsoft Learn · beginner · Free · 1h · ★ 4.6
This course covers ETL, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 1 hours.
Project Management (required)
GapCourses that may help you meet this requirement:
Proforma invoicing and corrections in Dynamics 365 Project Operations
Microsoft Learn · beginner · Free · 1h · ★ 5.0
This beginner course covers project and management concepts directly relevant to the Project Management skill gap identified for the Data Operations Manager, Human Data role.
Agile with Atlassian Jira
Coursera · beginner · $49 · 12h · ★ 4.7
This course directly covers Project Management, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 12 hours.
Project Management Fundamentals
Coursera · beginner · $49/mo · 16h · ★ 4.6
This course directly covers Project Management, which appears as a requirement in the Data Operations Manager, Human Data posting at a beginner level and can be completed in approximately 16 hours.
Partnerships (required)
GapCourses that may help you meet this requirement:
Create Win-Win Partnerships
Coursera · intermediate · $49/mo · 2h
This course directly covers Partnerships, which appears as a requirement in the Data Operations Manager, Human Data posting at an intermediate level and can be completed in approximately 2 hours.
Strategic Fundraising: Donors, Gifts & Partnerships
Coursera · intermediate · $49/mo · 8h
This course directly covers Partnerships, which appears as a requirement in the Data Operations Manager, Human Data posting at an intermediate level and can be completed in approximately 8 hours.