At Encord, we're building the AI infrastructure of the future. Today, the biggest challenge companies face in getting an AI product to market is actually not half as glamorous as it may seem: 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.

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’re a 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 prominent 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.

About Us  

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 Operations Specialist to join us in building our GTM team.

The Role

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 Operations Specialist, 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.

Responsibilities

_ 1. Project Management _

• Own the results of data annotation projects by orchestrating resources and aligning expectations from client’s Machine Learning team, Encord’s annotation workforces and other internal stakeholders.

• Understand clients' technical requirements from clients and translate them into guidelines that are understandable and executable by our annotation workforce.

• Maintain the highest annotation quality by actively monitoring annotation outputs against annotation guidelines, and when necessary, conduct analysis using scripts to assess project-based metrics and ensure alignment with the project specifications.

2. Solution consultation

• Be the product and computer vision expert of Encord to suggest the best approach to handle data labelling for clients. This includes envisioning how humans and machines could work together to deliver the best annotation results efficiently.

• Identify trends and product usage pattens from clients to suggest product ideas to our product and engineering team.

3. Other responsibilities

• Work closely with members of the Data Operations team to improve the data annotation and project management process, with the objective to consistently improving quality standards and scalability of the function.

About you 

•   Have an entrepreneurial mindset, and the ability to thrive in a fast-paced and constantly changing environment.

• Demonstrated ability to handle complex project management tasks (e.g., PMO) in your career.

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

• Previous experience with / exposure on Computer Vision is desirable. - You love technology and you’re able to talk about it.

What We Offer

• 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.

The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning.