operations
Posted Apr 21Human Data Operations Strategist
at Encord
San Francisco, United StatesOn-site
Requirements
- 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.
- 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 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 - A sharp, execution-oriented operator with a consulting or AI company pedigree — you bring structured thinking, strong project management instincts, and a bias for getting things done - Analytically rigorous and comfortable with ambiguity — you break down complex operational challenges from first principles and build clear,
- 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 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
- 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 - Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating
- experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks;
Benefits
- requirements clearly in both directions - Bonus: hands-on
- experience coaching or managing operational teams Why Encord - Competitive salary, commission, and meaningful equity in a high-growth start-up - Clear, accelerated growth opportunities as the company scales rapidly - Strong in-person culture: 3–5 days/week in our newly launched North Beach loft office - Flexible PTO to fully recharge - 18 paid vacation days in the U.S.
- plus federal holidays - Annual learning & development budget - Comprehensive health, dental, and vision coverage - Frequent travel opportunities across the U.S., London, and Europe - Bi-annual company offsites, twice-weekly team lunches, and monthly socials
Additional details
- Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
- 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