Build the data layer with us

AI Alignment starts with Encord.

The quality of AI is only as good as the data behind it.

We're at a pivotal moment in AI. The models are getting better. But the infrastructure to build, curate, and validate training data - the actual fuel for AI - is still being invented. Encord is that infrastructure. We help the world's best AI teams move faster, label smarter, and ship models that actually work in production - from autonomous vehicles to surgical robotics. We're just getting started.

Who we are

45+

nationalities represented

300+

leading AI teams building with Encord

$110M

total funding raised

Backed by

Wellington ManagementY CombinatorHarpoonCRVCraneWndrCoN47

Employees highlight

Our team says it best! Peak behind the scenes to learn more about our day-to-day life at Encord.

...you’re working on projects with company-wide impact from week one.

You get exposure to product thinking, commercial context, and system design early on, which means you develop a holistic understanding fast.

Henry Gill

Software Engineer

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Ready to build?

See our open positions.

Ideal candidate

High agency

You see something broken, you fix it or find the person who can. We celebrate the people who solve 90% of a problem before anyone asks.

Builds with care + urgency

We bear-hug the customer. Former founders and people from fast-moving, high-stakes environments thrive here.

Self-aware + hungry

We stay warm, self-aware, and genuinely hungry. We elevate our peers, and ego doesn't last long.

Invents in real time

We move toward the ambiguity. We’re pragmatic, resourceful, energized by the fact that there's no playbook.

Employee benefits

Our team says it best! Peak behind the scenes to learn more about our day-to-day life at Encord.

Equity in a hyper growth startup

Monthly team events and bi-annual offsites

Visa sponsorship

Annual learning and development stipend

25 days Paid Time Off

Payroll giving scheme

Strong in-person culture

Private health insurance

Team lunch twice a week

Cycle to work scheme

Home & Tech scheme

Frequently asked questions

  • It varies by role and team, but the general shape is: recruiter screen, hiring manager conversation, a skills-based interview or take-home, and a final panel. We try to keep the process to four or five stages total. Your recruiter will walk you through the specific steps at the start of your process so there are no surprises.

  • Absolutely! Timing matters, and so does role fit. If you were strong but not the right match for a specific position, we encourage you to apply again when a better-aligned role opens up. We keep notes and context from previous conversations, so you won't be starting from scratch. As a general guideline, we recommend waiting 6 months to 1 year before reapplying. The exact window depends on the feedback you received and the skillsets required for the role.

  • We don't have a formal internship program at this stage, but we do hire ambitious early-career candidates across functions. On the GTM side, our Commercial Associate program is designed as a launchpad into sales or solutions. On the technical side, we hire early-career engineers and ML practitioners who want to work at the frontier of AI infrastructure. If you're excited about what we're building and are earlier in your journey, reach out!

  • We do consider visa sponsorship on a case-by-case basis. It depends on the role, level, and location. This is something we confirm early in the process, typically at the recruiter screen stage, so there's no ambiguity later. If sponsorship is a factor for you, just let your recruiter know upfront.