A technology startup that helps local governments make smarter infrastructure decisions is hiring a remote Image Annotator to label roadway imagery for computer vision and machine learning models. The role pays $900–$1,500 USD per month, depending on skill set and experience, and is open to candidates in Latin America, the Philippines, South Africa and other regions. If you have 2–5 years of experience in image annotation, data labeling or quality assurance, this is a strong way into the AI data and computer vision field.
Job Overview
| Detail | Information |
|---|---|
| Job Title | Image Annotator (CG Image Annotator) |
| Position Listed in Ad | Image Annotation Manager |
| Reference Number | 66750306443 |
| Department / Industry | Information Technology |
| Work Location | Remote |
| Location of Search | Latam, Philippines, South Africa or any other region |
| Work Hours (Client) | Monday to Friday, flexible but will need to partially overlap with US time |
| Pay Range | $900–$1,500 USD per month (varies based on skill set and experience level) |
| Experience Required | 2–5 years in image annotation, quality assurance, data labeling, data processing or a similar detail-oriented role |
| Language Requirement | English |
About the Company
The client is a technology startup helping local governments make smarter infrastructure decisions through computer vision and geospatial data. Its platform analyses roadway imagery to identify issues such as potholes, cracks and other surface defects. This lets municipalities prioritise maintenance projects and optimise infrastructure budgets.
As the company scales, it is building an internal Image Annotation team to improve data quality, accuracy and long-term operational efficiency.
Role Overview
The Image Annotator accurately labels roadway imagery to support the development and improvement of computer vision and machine learning models. The role requires exceptional attention to detail and consistency, and the ability to follow annotation guidelines while maintaining high quality standards.
The ideal candidate is detail-oriented, comfortable with repetitive analytical work and interested in growing into more advanced quality assurance responsibilities. Top performers have the opportunity to develop into QA specialists and help maintain annotation quality across the team.
Key Responsibilities
Image Annotation
- Review and annotate geolocated roadway images using internal annotation tools
- Identify and label infrastructure features such as:
- Potholes
- Road cracks
- Surface deterioration
- Additional roadway defects as required
- Follow established annotation guidelines to ensure consistency and accuracy
- Maintain high annotation quality while meeting productivity goals
Quality Control
- Perform self-quality checks before submitting completed work
- Review annotations for accuracy and completeness
- Identify inconsistencies or unclear image cases for escalation
- Maintain high-quality standards across all annotation tasks
Data Management
- Organise and manage annotation assignments
- Maintain accurate records of completed work
- Follow internal documentation and workflow procedures
- Ensure data integrity throughout the annotation process
Continuous Learning
- Complete the company’s structured training and certification programme
- Participate in ongoing quality reviews and performance evaluations
- Continuously improve annotation speed and accuracy
- Develop skills that support future Quality Assurance responsibilities
Team Collaboration
- Work closely with QA specialists and technical teams
- Provide feedback on annotation guidelines and workflow improvements
- Participate in calibration sessions to maintain annotation consistency
- Support continuous process improvement initiatives
Minimum Qualifications
- Language: English
- Experience: 2–5 years of experience in image annotation, quality assurance, data labeling, data processing or a similar detail-oriented role
Preferred Qualifications
- Previous experience with image annotation or computer vision datasets
- Experience working with GIS, mapping or geospatial imagery
- Quality assurance or quality control experience
- Familiarity with machine learning or AI data labeling workflows
- Experience working within technology startups or fast-paced environments
Core Values & Mindset
This role suits people who care about accuracy and consistency, and who stay focused through repetitive analytical work. The team values candidates who follow guidelines closely, flag unclear cases instead of guessing, and keep improving their speed and accuracy over time. If you enjoy detailed work and want to grow into quality assurance, the structured training and certification programme gives you a clear path.
Compensation
$900–$1,500 USD per month, depending on skill set and experience level.
Career Growth Path
Image annotation is an entry point into the fast-growing AI and machine learning data field. Top performers can develop into QA specialists. Beyond that, a typical path looks like this:
Image Annotator → QA Specialist → Senior QA Specialist → Annotation Team Lead → Image Annotation Manager → Data Quality Manager
Experience with computer vision datasets and geospatial imagery is valuable across AI, mapping and GIS roles.
Remote Work & Employment Disclosures
- This is a remote role. The search covers Latin America, the Philippines, South Africa and other regions.
- Working hours are Monday to Friday and flexible, but you will need to partially overlap with US time.
- Confirm the employment or contract arrangement, payment terms and working schedule directly with the employer during the hiring process.
Frequently Asked Questions (FAQs)
Is this Image Annotator job remote? Yes. The work location is remote.
Can I apply from South Africa? Yes. The search covers Latin America, the Philippines, South Africa and any other region.
How much does the job pay? The pay range is $900–$1,500 USD per month, depending on skill set and experience level.
What are the working hours? Monday to Friday. Hours are flexible, but you will need to partially overlap with US time.
How much experience do I need? You need 2–5 years of experience in image annotation, quality assurance, data labeling, data processing or a similar detail-oriented role.
Do I need GIS or machine learning experience? No, but it is preferred. Experience with GIS, mapping or geospatial imagery, and familiarity with AI data labeling workflows, will strengthen your application.
Is there training? Yes. You will complete the company’s structured training and certification programme.
Can I grow into other roles? Yes. Top performers can develop into QA specialists and help maintain annotation quality across the team.
How to Apply
- Check that you meet the minimum qualifications above.
- Quote reference number 66750306443 in your application.
- Click the application link below to go to the official application page.
- Submit your application as instructed on that page.
Application link: Apply for the Image Annotator role
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