Full Stack Engineer Intern

At Klatch, we are building the next generation of data labeling platform, one that puts AI at the core, not as a fancy add-on feature. Think of it as "data labeling 2.0," where pre-trained models do the heavy lifting and humans perfect the output. Our platform will leverage an extensive library of foundational models to make AI-assisted labeling the norm, not the exception. Imagine a workflow where you are not starting annotation from scratch but with pre-labeled data, with manual annotators simply refining the output. That's where we're heading.

Responsibilities 💼

You will work hands-on to design, build, and ship features across the stack. This role is high impact, and your code will be used in live projects.

• Own and ship user-facing features for annotation and review interfaces

• Implement backend services for ingestion, storage, user management, and annotation pipelines

• Integrate model inference into workflows so users see auto-annotations by default

• Improve performance for loading, rendering, and editing large images and videos

• Design and maintain robust APIs and data flows between UI, model services, and storage

• Work directly with product, operations, and annotators to iterate on real user problems

Benefits✨

• Full Stack Engineer Internship Certificate

• Internship monthly stipend

• Flexible work timings + Remote (Work from Home)

• Valuable career exposure to the fastest-growing AI field of Computer Vision and Data Labeling

Qualifications 🎓

Required:

• Strong proficiency in a modern front-end framework such as React or Vue

• Solid backend experience with Node.js or Python frameworks (FastAPI, Django, or Flask)

• Hands-on experience working with databases such as PostgreSQL or MongoDB

• Clear understanding of REST APIs, authentication, and client-server architecture

• Practical experience using Git in a collaborative development environment

Preferred:

• Any work or projects involving Computer Vision or ML pipelines

• Familiarity with annotation tools such as CVAT, Labelbox, or similar platforms

• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker)

• Basic understanding of how ML models are deployed and served in production

Why this opportunity? 💡

• Real product and startup experience building a deep tech platform

• Hands-on exposure to AI-assisted workflows and Computer Vision tooling

• Mentorship from founders and engineers with domain experience

• Portfolio work you can showcase — shipped features used by real users

• We are an early-stage team developing a game-changing Computer Vision annotation platform. If you want to build product-grade systems that actually ship and impact ML teams, this is the place.

About us

Klatch is at the forefront of addressing today's most critical challenge in AI development: the need for high-quality, diverse data. Our award-winning Data Annotation, Data Acquisition, and Synthetic Data Generation services are tailored to fuel innovation across Computer Vision, ML, and NLP LLM applications. We are seeking Interns for our AI Data Annotation Services team. This is a remote internship and is open to qualified applicants worldwide.

Our Impact: Recognized in Slator's 2024 Top Language AI Firms under the Data for AI segment, Klatch has established itself as an essential partner for enterprises pushing the boundaries of AI. We were also nominated for Startup of the Year 2024 by HackerNoon in the AI and IT Services segment.