Data Annotator | Rp1,859,380/month

Codefeast; Indonesia; À distance; IDR 18 883 000 - 22 618 000; Temps partiel

Résumé du poste

Codefeast is seeking detail-oriented Data Annotation Specialists to support autonomous driving AI projects.

You will annotate 2D images, label traffic elements, and ensure high accuracy. Remote, contract role with immediate start, 9 hours daily, for four months, based on 176 client-approved hours monthly. A reliable internet connection and a suitable laptop are required.

Qualifications

• Freshers and undergraduate/graduate students eligible to apply.
• Compensation based on 176 client-approved hours per month.
• Available for 9 hours a day, Monday–Saturday, for 4 months.
• Immediate start is required.
• Minimum 20 Mbps internet connection and a suitable laptop.

Responsabilités

• Annotate datasets according to project guidelines.
• Maintain high levels of accuracy, consistency, and precision.
• Review completed annotations and correct errors where required.
• Follow project-specific annotation and quality guidelines.

Connaissances

Data annotation

Image labeling

Quality control

Attention to detail

Dataset review

Outils

Bounding boxes

Point labeling

Dataset management

Description du poste

Data Annotation Specialist – Autonomous Driving

Experience: Freshers / Students Eligible

Engagement Type: Contract

Work Mode: Remote

Domain: AI | Computer Vision | Autonomous Driving

Working Hours: 10:00 AM–7:00 PM, Monday–Saturday

Start Date: Immediate

Compensation: IDR: Rp1,859,380/month

Role Overview

We are looking for detail-oriented Data Annotation Specialists to support AI and computer vision projects in the autonomous driving domain.

The role involves reviewing visual and spatial datasets, identifying road objects and infrastructure, applying predefined labels, and maintaining high standards of annotation accuracy and consistency.

Scope of Work

2D Image Annotation

• Annotate traffic lights, traffic signs, parking spaces, and other road elements.
• Use bounding boxes, points, and other defined annotation methods.
• Annotate vehicles, pedestrians, parking/driving obstacles, and other objects.
• Label lane lines, lane centerlines, road elements, and topological relationships.
• Work with reconstructed large-scale point cloud data.

Key Responsibilities

• Accurately annotate and label assigned datasets according to project guidelines.
• Maintain high levels of accuracy, consistency, and precision.
• Review completed annotations and correct errors where required.
• Follow project-specific annotation and quality guidelines.

Key Requirements

• Graduate and undergraduate students are eligible to apply.
• The stated compensation is based on the completion of 176 client-approved hours in a month.
• Must be available 9 hours a day, Monday–Saturday for the next 4 months.
• Must be available to join immediately.
• Minimum 20 Mbps internet connection required.
• Candidates must provide a screenshot of their internet speed.
• Must have a reliable laptop/desktop suitable for annotation work.