Data Annotation Techinian

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TYPE OF WORK

Part Time

WAGE / SALARY

3$/hour

HOURS PER WEEK

40

DATE UPDATED

Jun 9, 2026

JOB OVERVIEW

We are looking for Data Annotation Technicians to join our annotation team. This role involves reviewing images, maps, and geospatial data, then accurately labeling, validating, and correcting information based on project guidelines.

The ideal candidate is detail-oriented, reliable, trainable, and able to follow instructions carefully. Previous data annotation, GIS, or mapping experience is preferred but not required.

Responsibilities

- Perform data annotation tasks based on project guidelines
- Label, review, and validate images, maps, road signs, lane markings, road striping, and other road-related data
- Use annotation and mapping tools accurately
- Check work for completeness, accuracy, and consistency before submission
- Follow SOPs, annotation guidelines, and QA/QC instructions
- Correct errors based on QA feedback
- Report unclear images, tool issues, or guideline concerns
- Meet daily productivity and quality targets
- Track working hours and task progress using required tools
- Participate in training, calibration, and feedback sessions

Tools Used

Candidates should have experience with, or be willing to learn:

- CVAT
- QGIS
- Mapbox
- Viewfinder
- Time tracking tools
- Internal SOPs, guidelines, and reporting sheets

Requirements

- Strong attention to detail
- Ability to follow written instructions
- Basic computer skills and ability to learn new software
- Good written communication skills
- Reliable internet connection and working computer
- Organized, patient, and consistent with repetitive tasks
- Able to work with minimal supervision after training
- Willing to accept feedback and make corrections quickly

Preferred Experience

- Data annotation, image labeling, mapping, GIS, or similar work
- CVAT, QGIS, Mapbox, Viewfinder, or other annotation tools
- Road-related annotation, including signs, lane markings, striping, or pavement markings
- Remote team experience
- QA/QC or accuracy-based work

Ideal Candidate

We are looking for someone careful, consistent, and eager to improve. The ideal candidate can follow detailed instructions, produce accurate work, accept feedback professionally, and help the team maintain high-quality annotation output.

How to Apply

Please send:

- Updated resume or CV
- Short summary of your data annotation, mapping, or GIS experience
- Tools or software you have used before

SKILL REQUIREMENT
Data Analytics Data Dive Data Engineering
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