Human Data Solutions Engineer, Encord
+ Commission + Equity
3-5 days a week in office
Data platform for AI training
Be an early applicant
Data platform for AI training
101-200 employees
Be an early applicant
+ Commission + Equity
3-5 days a week in office
101-200 employees
Company mission
To solve AI alignment by tackling the real bottleneck: data quality.
Role
Who you are
- A sharp operator who combines structured, consulting-style thinking with hands-on execution — you're equally comfortable designing a workflow on a whiteboard and auditing annotation outputs in a spreadsheet
- Technically fluent: you can query a database, write a Python script to automate a workflow, or dig into annotation outputs to identify quality issues — and you know enough about ML pipelines to speak credibly with engineers
- A natural communicator who can run a compelling demo, walk through a POC delivery, and explain what it all means to a VP in plain language
- Genuinely passionate about AI, with particular interest in robotics, autonomous driving, and the data operations challenges that come with physical AI
- Entrepreneurial and collaborative — you take ownership, move fast, and thrive when the work is ambiguous and high-stakes
- 1-3 years of professional experience, ideally spanning strategy consulting, AI/technology operations, or customer-facing technical roles (Solutions Engineering, Technical Account Management, or similar)
- Proven ability to own complex, multi-stakeholder workflows end-to-end — from scoping and planning through execution, quality assurance, and client communication
- Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs
- Experience designing or optimising data operations processes with a strong eye for quality, consistency, and scalability — ideally involving human-in-the-loop or structured labelling workflows
- Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients
- Hands-on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage and ML workflow patterns
- Bonus: hands-on experience with computer vision, LiDAR, robotics sensor data, or autonomous driving datasets; prior exposure to data annotation platforms or quality management frameworks; experience in a customer-facing technical role at an AI company
What the job involves
- As a Human Data Operations & Solutions Engineer at Encord, you will sit at the intersection of technical sales and hands-on data operations
- You are the expert who takes a prospect from first demo to a working proof of concept — not just by showing the platform, but by actually delivering a small-scale, high-quality annotation sample that demonstrates what best-in-class data operations looks like in practice
- You'll own the full arc: leading technical discovery on demo calls, designing the annotation workflow, managing the delivery of sample datasets, and translating the results into a compelling case for the client
- With a strong focus on robotics and autonomous driving, you'll be working with some of the most technically complex and data-intensive AI use cases in the industry
- Partner with Account Executives to lead the technical and operational strategy for complex enterprise sales cycles, co-owning the path to a successful proof of concept
- Lead deep technical discovery sessions with ML Engineers, MLOps leaders, and non-technical stakeholders to understand data requirements and design the right annotation workflow
- Manage end-to-end delivery of small-scale annotation POCs — translating complex AI requirements into clear instructions for annotation specialists, auditing outputs, and iterating on quality until the sample is client-ready
- Build and deliver tailored demonstrations that combine platform capability with live, real-world annotation results — particularly for robotics, autonomous driving, and multimodal sensor data (LiDAR, camera fusion, etc.)
- Act as a trusted advisor to clients on annotation workflow design, data quality, and the operational processes that underpin model performance
- Provide structured feedback and guidance to annotation teams during POC delivery, ensuring outputs meet the quality bar required to win client confidence
- Translate findings and operational results into clear value propositions for senior, non-technical stakeholders
- Serve as the voice of the customer to Product and Engineering, channelling detailed technical feedback from enterprise clients to shape the roadmap
Salary benchmarks
Our take
It has become increasingly clear that the next generation of AI applications will be driven by data-centric approaches concentrated around training data creation, management, and evaluation. Crucial within this process is the annotation or 'labelling' of data. Traditionally, such annotation has been left to human workers, which has historically made this part of the process of AI development expensive, slow, and difficult to scale.
Encord offers a computer vision annotation platform that automates a number of manual labelling tasks. Its suite of tools is designed for collaboration across roles and teams, from domain-expert annotators to project managers and machine learning engineers. This allows companies to iterate 10x faster, and develop and deploy high performing models in less time whilst saving on annotation costs.
Demand is clearly there: since its launch in 2020, Encord has facilitated the annotation of more than 100 million frames and images and served customers in verticals such as medical imaging, smart cities, sports analytics and satellite imaging. Furthermore, usage is scaling rapidly, with the number of labels generated on the platform growing ~70% month-over-month.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2026
$60m
SERIES C
Aug 2024
$30m
SERIES B
Total funding: $107.2m
Company benefits
- Competitive salary, commission, and meaningful equity in a high-growth startup
- Strong in-person culture: 3–5 days/week in our London, SF, and NYC offices
- Flexible PTO to fully recharge
- Annual learning & development budget
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites, twice-weekly team lunches, and monthly socials
- Company lunches twice a week
- Clear, accelerated growth opportunities as the company scales rapidly
Company HQ
North Beach, San Francisco
Leadership
Eric Landau
(CEO)With MScs from Harvard and Stanford, Eric spent 8+ years as a senior quant at DRW deploying ML at scale—before co-founding Encord to make data the core of AI development.
Ulrik Stig Hansen
(President)Ulrik spent 3+ years in Sales & Trading at J.P. Morgan and holds science master’s degrees from UCL and Imperial—before co-founding Encord to transform how AI handles data.
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