Data Annotator

Codefeast; Indonesia; Remote; IDR 17,638,000 - 23,863,000; Part time

Job summary

Codefeast is seeking a Data Annotation Specialist to support autonomous driving AI projects. You will annotate 2D images, identify road objects, and apply labels using bounding boxes, points, and other methods across traffic elements, vehicles, and road infrastructure.

Ideal candidates are detail-oriented, able to work remotely, and commit to 176 client-approved hours per month over a 4-month contract, starting immediately. A stable internet connection and suitable hardware are required.

Qualifications

• Freshers or students eligible to apply.
• Prior experience in data labeling is not required.
• Ability to follow project guidelines precisely.

Responsibilities

• Annotate 2D image datasets with bounding boxes and labels for traffic elements.
• Ensure labeling consistency and high accuracy per project standards.
• Review and correct annotations as needed to meet guidelines.

Skills

Attention to detail

Time management

Remote collaboration

Tools

Annotation tools

Job description

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.