TechOps Specialist na CordTechnologies
CordTechnologies · London, Reino Unido · Onsite
- Professional
- Escritório em London
About Encord
At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.
As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord.
We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers.
Who we are looking for
We are looking for an experienced and proactive TechOps Specialist to join our fast-paced team. You will be responsible for supporting users, managing devices, maintaining networks, and ensuring smooth day-to-day IT operations. This role is ideal for someone who enjoys solving problems, working collaboratively, and is eager to grow within a dynamic work environment.
What to expect
About EncordAt Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord.We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers.Who we are looking forWe are looking for an experienced and proactive TechOps Specialist to join our fast-paced team. You will be responsible for supporting users, managing devices, maintaining networks, and ensuring smooth day-to-day IT operations. This role is ideal for someone who enjoys solving problems, working collaboratively, and is eager to grow within a dynamic work environment.What to expect
User Onboarding & Support
Device & Endpoint Management
Inventory & Asset Management
About You
We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn.
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 50 people, now we're 100+. 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.
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