A remote image annotation project is currently recruiting freelancers and vendors to support a defect detection assignment involving polygon labeling and segmentation tasks. If you are searching for an Annotation Project Freelancer Kenya 2026 opportunity, this role offers flexible working hours and the chance to work on image annotation tasks using industry-standard labeling tools.
This project involves annotating defect images provided in RGB and topographical formats. You will identify and label different surface defects while maintaining a minimum annotation accuracy threshold of 90%.
About This Role
This remote annotation project focuses on defect detection and image segmentation using polygon-based labeling techniques. You will work on datasets containing defects such as knots, bark, discoloration, decay, roughness, waviness, and other surface irregularities.
The role suits freelancers, agencies, and vendors with previous annotation experience and a strong understanding of quality control standards. You should be comfortable using annotation platforms and following project guidelines carefully to ensure accurate labeling.
You will work independently while meeting daily annotation targets and maintaining consistency across assigned datasets.
Key Responsibilities
- Annotate defect images accurately using polygon labeling techniques.
- Identify defects including knots, bark, discoloration, decay, waviness, and roughness.
- Review annotated images to ensure quality and consistency.
- Follow project instructions and annotation guidelines carefully.
- Maintain a minimum annotation accuracy threshold of 90%.
- Meet daily image annotation targets within assigned timelines.
- Use annotation tools and platforms efficiently for segmentation tasks.
- Report project challenges or unclear image cases to the project management team.
Required Qualifications and Experience
Essential:
- Previous experience in image annotation, segmentation, or data labeling projects.
- Experience with polygon-based annotation tasks.
- Good understanding of written and spoken English.
- Ability to maintain high annotation accuracy.
- Reliable internet connection and access to a computer.
- Ability to work independently and meet deadlines.
Desirable:
- Experience working with defect detection datasets.
- Familiarity with topographical image analysis.
- Experience working with agencies or large-scale annotation projects.
Skills and Competencies
- Strong attention to detail.
- Accuracy in image labeling and segmentation.
- Good time management skills.
- Ability to follow technical annotation instructions.
- Familiarity with annotation software and labeling platforms.
- Consistent quality control and review skills.
Annotation Tools and Platforms
Experience with any of the following tools is an added advantage:
- CVAT
- Labelbox
- SuperAnnotate
- V7 Darwin
- Roboflow
- Custom annotation tools
- LDP
What the Project Offers
- Remote work flexibility.
- Opportunity to work on international annotation projects.
- Flexible daily working hours.
- Long-term collaboration opportunities for high-performing annotators.
- Competitive project-based compensation.
About the Project
This annotation project focuses on defect detection using image segmentation and polygon labeling techniques. The datasets include RGB and topographical images requiring detailed defect identification and classification.
The project is open to both individual freelancers and vendors/agencies with experience handling image annotation assignments. Applicants with strong quality control skills and prior annotation experience are encouraged to apply.
How to Apply
Complete the online registration form and provide accurate details about your annotation experience, tools used, availability, and daily image annotation capacity.
Application Form Details:
- Full Name
- Age
- Gender
- Country
- Email Address
- WhatsApp Number
- Annotation Experience
- Annotation Tools Used
- Polygon Labeling Experience
- Availability Per Day
- Daily Image Annotation Capacity
Ensure the information provided is accurate and up to date before submitting the application.
Application Deadline
Apply as soon as possible — positions may close early once enough annotators are onboarded.
Documents Required
- Updated CV/Resume
- Portfolio or sample annotation work (if available)
- Valid identification document
- Internet-connected computer or laptop
