---
title: Data Annotator at ALLSTARSIT
description: About the company Headquartered in Warsaw, Poland, AllSTARSIT operates development hubs across the whole CEE Region (Poland, Ukraine, Czech Republic, Romania, and Bulgaria), Israel, and Dubai. Additio
---

# Data Annotator

**Company:** ALLSTARSIT  
**Location:** Tbilisi, Georgia  
**Posted:** 2026-09-02  
**Apply by:** 2026-10-17

[Apply / View original posting](https://www.linkedin.com/jobs/view/4462198473)

## Job description

About the company Headquartered in Warsaw, Poland, AllSTARSIT operates development hubs across the whole CEE Region (Poland, Ukraine, Czech Republic, Romania, and Bulgaria), Israel, and Dubai. Additionally, AllSTARSIT has Tech Customer Support offices in the LATAM region, with an HQ in Colombia. The company has over 800+ talented Software Engineers and Tech Specialists spread across all locations. About the project Our client provides unique mapless driving solutions for Level 3-4 autonomous vehicles. Their location-independent technology enables rapid deployment on unknown roads. It is HW-agnostic, self-sufficient, uses hi-res cameras, fits many self-driving applications, and can be installed on passenger vehicles as well as autonomous buses. Their bio-inspired technology collects and processes peripheral information from cameras installed on the vehicle. This data is sent to a special computer in the vehicle whose purpose is to perform, in real time, the actions that will allow the vehicle to drive autonomously (similar to a human driver) Required skills: ● BSc in Engineering, computer science, or any relevant technical experience ● Active Driving license and good understanding of driving laws, right of way, road rules, and regulations ● Good English skills: B2/C1 + ● A good understanding of geometry ● Fast learning ● Ability to work in a dynamic environment and work under pressure ● Good communication skills ● Team player mindset Scope of work: ● Annotate & interpret image data based on the provided guidelines and Toolchain ● Deliver quality data in a timely manner ● Report issues in data or workflow using work management systems

---

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