At a Glance
- Tasks: Join our team to build and optimise data systems for cutting-edge AI research.
- Company: Anthropic, a leader in AI technology with a focus on ethical development.
- Benefits: Comprehensive health insurance, flexible time off, and competitive salary with equity options.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by shaping the future of AI through innovative data solutions.
- Qualifications: Strong full-stack engineering skills and experience with data pipelines.
The predicted salary is between 500 - 500 £ per month.
Responsibilities
- Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection
- Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday
- This is a full-stack, ownership-heavy role on a small, senior team.
You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why
- You'll scope your own projects, make architectural calls, and see them through to production.
We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it
- Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers
- Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training
- Own the reliability, latency, and usability of systems that run continuously against live model endpoints
- Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them
- Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer
- Identify and remove the bottlenecks between "we want this data" and "it's in the training mix"
• Representative projects
- Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format
- Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators
- Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code
- Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically
- Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix
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
- Role Requirements
- Care about the societal impacts of your work
- Strong full-stack engineering skills, with production experience in Type Script/React on the frontend and Python on the backend
- Experience designing and operating backend services and data pipelines that other teams depend on
- A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use
- Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building
- Effective use of AI tools in your own day-to-day work
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
- Experience with RLHF, preference data, or other human-feedback pipelines for ML systems
- Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling
- Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience
- Experience working with crowdworker or expert vendor platforms at scale
- Familiarity with how LLMs are trained and evaluated
- Experience running experiments on data collection interfaces and using the results to improve data quality
- #J-18808-Ljbffr
Staff+ Software Engineer (RL Data Platform) 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 Staff+ Software Engineer (RL Data Platform)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Anthropic or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Anthropic.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Anthropic.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Anthropic that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Staff+ Software Engineer (RL Data Platform)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Anthropic.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Anthropic and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Anthropic
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Anthropic uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
