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- Tasks: Lead data annotation projects and optimise workflows for AI models.
- Company: Join Encord, a fast-growing AI infrastructure company with a dynamic team.
- Benefits: Competitive salary, equity, learning budget, and vibrant office culture.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: 3+ years in project management or data operations, with AI experience preferred.
- Other info: Collaborative environment with monthly socials and bi-annual off-sites.
The predicted salary is between 36000 - 60000 £ per year.
About Us
At Encord, we are building the AI infrastructure of the future. The biggest challenge AI companies face today is all about data quality. The success of any AI application 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 90+, 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 are excited about working on cutting-edge AI data solutions and making a real impact in the field of machine learning, we would love to hear from you!
Human Data Operations Strategist employer: Encord
Contact Detail:
Encord Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Human Data Operations Strategist
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data operations space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data annotation or AI workflows. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data quality and project management. We recommend practicing with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Human Data Operations Strategist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Human Data Operations Strategist role. Highlight your experience in project management and data operations, and show us how your skills align with our mission at Encord.
Showcase Your Passion for AI: We want to see your enthusiasm for AI and machine learning! Share any relevant projects or experiences that demonstrate your interest and expertise in the field, especially if you have a background in computer vision or generative AI.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past experiences and how they relate to the responsibilities of the role. We appreciate directness and clarity!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Encord
✨Know Your Data
Familiarise yourself with the importance of data quality in AI applications. Be ready to discuss how you can optimise data annotation processes and ensure high standards, as this is crucial for the role.
✨Showcase Your Project Management Skills
Prepare examples from your past experiences where you've successfully led data projects. Highlight your ability to translate complex requirements into clear workflows, as this will demonstrate your fit for the project leadership aspect of the role.
✨Engage with Stakeholders
Think about how you would approach client engagement. Be prepared to share strategies on how to act as a trusted advisor and design effective data annotation workflows, showcasing your communication skills.
✨Demonstrate Your Passion for AI
Express your enthusiasm for AI and machine learning during the interview. Share any relevant experiences or projects you've worked on, especially in computer vision or generative AI, to show that you're genuinely invested in the field.
