At a Glance
- Tasks: Lead data operations for cutting-edge AI research and build scalable data strategies.
- Company: Join a pioneering AI company focused on operational excellence and innovation.
- Benefits: Comprehensive health insurance, flexible time off, and competitive salary with equity options.
- Other info: Visa sponsorship available; hybrid work policy with great career growth opportunities.
- Why this job: Make a real impact in AI safety and quality through strategic data management.
- Qualifications: 3+ years in operations or project management; strong communication and organisational skills.
The predicted salary is between 500 - 500 £ per month.
- 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
- 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
- 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
Benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- 22 weeks of paid parental leave
- Flexible paid time off and absence policies
- Mental health support for you and your dependents
- Competitive salary and equity packages
- Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
- Retirement plans with competitive matching
- Life and income protection plans
- $500/month flexible wellness and time saver stipend
- Commuter benefits
- Annual education stipend
- Home office stipends
- Relocation support for those moving for Anthropic
- Daily meals and snacks in the office
- Are passionate about AI safety and understand the critical importance of high‑quality data
- Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
- Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
- Are highly organized and can navigate ambiguity effectively
- Have strong communication skills and can engage effectively with technical and non‑technical stakeholders
- 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
- Thrive in fast‑paced research environments with shifting priorities
- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• 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
- 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
- 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
- #J-18808-Ljbffr
Data Operations Manager (Human Data) employer: Anthropic
At Anthropic, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team-oriented environment encourages personal growth and empowers employees to take ownership of their projects, making a meaningful impact in the tech landscape. Located in a vibrant area, we offer competitive benefits and unique opportunities for professional development, ensuring that our engineers thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Manager (Human Data)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Anthropic!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Anthropic.
✨Apply Directly through Our Website
When you find a suitable opening like Data Operations Manager (Human Data) at Anthropic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Operations Manager (Human Data)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Anthropic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Anthropic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Anthropic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Anthropic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
