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 60, 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 the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a rockstar Data Analyst to join us in building our GTM team.

This is a unique opportunity for an ambitious, multi-talented individual to help build our Data Operations function and have a massive impact on a high-growth business. As a Data Analyst, you will be working with our customers on building world-leading AI applications across a broad set of verticals including retail, insurance, and healthcare.

You will also work closely alongside the wider Customer Success and Engineering teams as well as the co-founders to shape Encord's direction and help us manage our rapidly expanding customer base. The ideal candidate is a superstar who is willing to work hard, roll up their sleeves and take responsibility for working with innovative companies adopting computer vision technologies. You will be in for a fun ride!

- Actively participate in and oversee the delivery of high-quality annotations on client data annotation projects.

- Collaborate and communicate effectively within the team and with data annotators to understand the technical requirements of projects ensuring they are completed to a high degree of accuracy and in a timely fashion.

- Conduct analysis using scripts to accurately assess project-based metrics, ensuring alignment with project specifications and data quality standards.

- Ensure compliance with all project specifications and guidelines.

- Manage quality assurance queries through to resolution to ensure smooth operation of the project workflow.

- Work closely with members of the Data Operations function to improve the data annotation and project management process to subsequently iterate on the quality of delivered projects.

- Experience in data annotation and/or quality assurance.

- Technical skills, particularly in scripting languages such as Python, familiarity with relational database management systems (RDBMS) and data annotation tools are desirable.

- Understand how to handle queries and communicate problems and solutions to team members at the appropriate level of detail and complexity.

- Experience of working in a fast-paced environment with varying deadlines.

- You love technology and being able to talk about it.

- Have a growth mindset and be willing to contribute to the development of the Data Operations team.

- Ability to thrive in a fast-paced, team-oriented environment.

- Competitive salary, commission and equity in a hyper growth business.

- Strong in-person culture: most of our team is in the office 3+ days a week.

- Room to grow into anything you choose to — a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.

- 25 days annual leave a year + public holidays.

Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.

Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.