At a Glance
- Tasks: Lead data annotation projects and optimise workflows for AI models.
- Company: Join Encord, a fast-growing AI infrastructure company backed by top investors.
- Benefits: Enjoy competitive salary, equity, learning budget, and vibrant office culture.
- Why this job: Make a real impact in AI while collaborating with talented teams in a dynamic environment.
- Qualifications: 3+ years in project management or data operations; proficiency in Python or SQL preferred.
- Other info: Work 3+ days a week in our London office and participate in fun monthly socials.
The predicted salary is between 36000 - 60000 £ per year.
About Us
At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market.
As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one of the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.
The Role
As a Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. This role is perfect for individuals with a passion for AI, data operations, and solving real-world problems.
Your Responsibilities:
- Project Leadership – Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams.
- Data Quality Optimization – Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and implementing feedback loops.
- Client & Stakeholder Engagement – Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process.
- Annotators Training & Coaching – Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices.
- Product Innovation – Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies.
About you:
- You have 3+ years of professional experience, ideally from top strategy consulting firms and/or best-in-class AI companies.
- You have strong experience in project management, data operations, and/or AI-related workflows.
- You are proficient in scripting languages like Python, SQL, or familiarity with relational databases and data annotation tools.
- You are a problem solver with a strong analytical mindset and an entrepreneurial approach to managing projects.
- You are passionate about AI and machine learning, with experience in computer vision or generative AI being a strong plus.
- You thrive in fast-paced environments and collaborate with cross-functional teams to drive innovative solutions.
- You have communication and stakeholder management skills, with the ability to translate technical concepts into clear action plans.
What we offer:
- Competitive salary, commission and equity in a hyper growth startup.
- Strong in person culture (3+ days a week in our London office).
- Annual learning and development budget.
- Bi-annual off-sites and monthly socials.
- If you're excited about working on cutting-edge AI data solutions and making a real impact in the field of machine learning, we'd love to hear from you!
Human Data Operations Strategist employer: Crane Venture Partners
Contact Detail:
Crane Venture Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Human Data Operations Strategist
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data operations. Understanding the current challenges and innovations in the field will help you engage in meaningful conversations during interviews and demonstrate your passion for the role.
✨Tip Number 2
Network with professionals in the AI and data operations space. Attend industry events, webinars, or meetups to connect with people who work at Encord or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your project management skills, especially in relation to data annotation workflows. Being able to articulate your experience in managing complex projects will be crucial in showcasing your fit for the Human Data Operations Strategist role.
✨Tip Number 4
Prepare to discuss specific examples of how you've optimised data quality in previous roles. Highlighting your analytical mindset and problem-solving abilities with concrete cases will make a strong impression on the hiring team.
We think you need these skills to ace Human Data Operations Strategist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in project management, data operations, and AI-related workflows. Use specific examples that demonstrate your skills in managing data annotation projects and working with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Discuss how your background aligns with the responsibilities of the Human Data Operations Strategist role, particularly your experience in optimizing data quality and engaging with clients.
Showcase Technical Skills: Mention your proficiency in scripting languages like Python and SQL, as well as any experience with data annotation tools. Providing examples of how you've used these skills in previous roles can strengthen your application.
Highlight Problem-Solving Abilities: Demonstrate your analytical mindset and problem-solving skills by including specific instances where you successfully tackled challenges in data operations or project management. This will show your potential to thrive in a fast-paced environment.
How to prepare for a job interview at Crane Venture Partners
✨Understand the Role
Make sure you have a solid grasp of what a Human Data Operations Strategist does. Familiarise yourself with data annotation processes and how they impact AI models. This will help you articulate your understanding during the interview.
✨Showcase Your Project Management Skills
Be prepared to discuss your experience in managing projects, especially in data operations or AI-related workflows. Highlight specific examples where you've successfully led teams or optimised processes to improve data quality.
✨Demonstrate Technical Proficiency
Since the role requires familiarity with scripting languages like Python and SQL, be ready to discuss your technical skills. You might even want to prepare for potential technical questions or scenarios that test your problem-solving abilities.
✨Engage with Stakeholder Management
As client engagement is key, think of examples where you've acted as a trusted advisor. Discuss how you've translated complex concepts into actionable plans for clients or stakeholders, showcasing your communication skills.