As a Human Data Operations Strategist, you'll manage data annotation projects, optimize data quality, engage clients, train annotators, and drive product innovation within AI workflows.
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Human Data Operations Strategist, you will play a critical role in managing and optimising 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.
What you'll do
- Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams
- Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and implementing feedback loops
- Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process
- 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
- Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies
Who we're looking for
- 3–7 years of professional experience, ideally from top strategy consulting firms and/or best-in-class AI companies
- Strong experience in project management, data operations, and/or AI-related workflows
- Proficient in scripting languages like Python or SQL, or familiarity with relational databases and data annotation tools
- A problem solver with a strong analytical mindset and an entrepreneurial approach to managing projects
- Passionate about AI and machine learning, with experience in computer vision or generative AI being a strong plus
- Thrives in fast-paced environments and collaborates with cross-functional teams to drive innovative solutions
- Strong communication and stakeholder management skills, with the ability to translate technical concepts into clear action plans
Experience requirements
- 3–7 years of professional experience, with a strong preference for backgrounds in top-tier strategy consulting and/or operations or data roles at leading AI or technology companies
- Proven project management experience, with the ability to own complex, multi-stakeholder workflows end-to-end — from scoping and planning through execution, quality assurance, and iteration
- Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling is equally valued
- Experience designing or optimising data operations processes, with a strong eye for quality, consistency, and scalability — ideally in a context involving human-in-the-loop workflows or structured labelling tasks
- Strong analytical and first-principles thinking, with the ability to break down ambiguous operational challenges and develop structured, actionable solutions
- Demonstrated ability to engage and communicate effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating requirements clearly in both directions
- Bonus: Hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teams
Why Encord
- Competitive salary, commission, and equity in a high-growth start-up
- Strong in-person culture — most of the team works from our London office 3+ days/week
- 25 days annual leave + UK public holidays
- Annual learning & development budget
- Travel for customer visits, events, and conferences across the UK and Europe
- Company lunches twice a week
- Monthly socials & bi-annual team offsites
Top Skills
Python
SQL
Encord London, England Office
Eastcastle St, London, United Kingdom, W1W 8DE
Similar Jobs
Fintech • Mobile • Payments • Software • Financial Services
As a Junior AV Technician, you'll assist with the setup and maintenance of AV equipment for meetings and events, troubleshoot issues, and support ongoing office projects.
Top Skills:
AppspaceAv EquipmentDante Level 1Google MeetGoogle WorkspaceJIRAQ-Sys Level 1ServicenowVimeoZoom
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
As Senior Group Legal Counsel, you will provide strategic legal counsel, collaborate on technology and commercialization initiatives, and develop legal frameworks for Ericsson's technology development.
Top Skills:
Artificial IntelligenceCloud ServicesLegalTechnologyTelecommunications
An Hour Ago
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
The role involves assessing credit worthiness, financial analysis, managing relationships, and producing high-quality credit reports for project and infrastructure finance.
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
