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Essential Job Details:
- Position Title: Remote Data Annotator – Computer Vision
- Location: Remote (Kenya applicants highly encouraged)
- Contract Type: Full-Time, Freelance/Gig-Based
- Education Requirement: Bachelor’s Degree
- Experience Level: Minimum 12 Months
- Application Deadline: June 30, 2025
- Employer: Fuzu Remote AI Talent Team
- Language Requirement: English
- Application Link: Apply for Remote Computer Vision Annotation Role Below
Introduction
Are you a detail-oriented professional seeking a career in artificial intelligence? Are you based in Kenya and looking for remote opportunities that let you work with global companies? This Remote Data Annotator – Computer Vision job offers a chance to develop hands-on experience working with real-world machine learning datasets. Fuzu Remote is actively recruiting annotators for their AI training team.
As a data annotator, your job will be to provide meticulously labeled datasets that help train computer vision systems. Your work will be used in models applied across sectors like autonomous vehicles, e-commerce visual searches, medical imaging, and robotics. Join the global AI workforce and get exposed to industry-leading platforms while working entirely from the comfort of your home.
About the Employer – Fuzu Remote Projects
Fuzu is a pan-African digital talent platform that connects job seekers with employers and is at the forefront of artificial intelligence, career development, and remote digital work. Fuzu Remote collaborates with tech-first companies and startups across the world to develop machine learning models through human-powered data labeling.
Working with Fuzu as a remote computer vision data annotator provides not just income but a gateway into the AI ecosystem. It’s an opportunity to grow your professional portfolio, receive real-time feedback from data science professionals, and get upskilled on the most in-demand tech jobs of the future.
About the Role – Remote Computer Vision Annotation (Kenya)
This job revolves around accurate labeling of visual data—including still images, 2D scenes, and short videos. The annotated output you create trains neural networks to understand patterns, identify objects, and extract insight from the visual world.
You will work independently and remotely under the guidance of a project manager and follow established annotation protocols. Each day, you’ll log in to a secure online portal, receive your batch of tasks, complete them with high accuracy, and submit them for quality review.
Key Responsibilities of the Role
- Accurately label images and videos based on detailed guidelines provided.
- Use top annotation software tools such as Labelbox, CVAT, SuperAnnotate, RectLabel, etc.
- Apply appropriate labeling techniques including object detection, bounding boxes, segmentation, and image classification.
- Collaborate with remote QA teams to revise annotations where necessary.
- Flag ambiguities in tasks or interface for clarification.
- Maintain high annotation throughput while meeting stringent accuracy thresholds.
- Take part in online team briefings, daily standups, and updates when scheduled.
- Comply with strict data security, privacy, and content handling protocols.
- Adapt quickly to revised guidelines and new label schemas.
Minimum Qualifications
- Bachelor’s degree in a relevant field (Computer Science, Data Science, Information Technology, AI, Mathematics, Engineering, or related).
- Minimum 12 months of experience in any of the following:
- Data annotation or data entry
- Image editing or manipulation
- Quality Assurance or labeling for AI projects
- Proficiency in annotation tools such as Labelbox, CVAT, or SuperAnnotate.
- Fluent in written and spoken English with excellent comprehension skills.
- Strong attention to detail with the ability to follow complex instructions.
- Self-motivated with a reliable internet connection and laptop/desktop setup.
Preferred Skills and Competencies
- Exposure to computer vision basics: image types, annotation use cases, segmentation types.
- Familiarity with visual data workflows and content organization.
- Experience working with image/video files in various formats (PNG, JPEG, MP4).
- Experience using task management platforms such as Trello, Asana, Slack, or ClickUp.
- Basic understanding of artificial intelligence principles and use of labeled data.
- Previous freelance, gig work, or remote role experience.
- Ability to learn new software quickly and adapt to updated platform features.
Work Environment and Setup
- 100% remote work – no commuting or physical office required.
- Access the work platform via secure browser login.
- Flexible scheduling but must meet volume and quality benchmarks.
- Weekly check-ins with your team lead and progress reviews.
- Paid training sessions before task assignment.
- Feedback loops and performance monitoring built into workflows.
Compensation and Engagement Terms
- Freelance engagement, paid per project or per task batch.
- Competitive compensation based on quality, speed, and consistency.
- Potential for longer-term engagements based on your performance.
- Work volume depends on project availability and performance metrics.
Who Is This Job Best Suited For?
- Recent Kenyan university graduates in tech, data science, or engineering.
- Tech enthusiasts looking to enter the field of artificial intelligence and machine learning.
- Freelancers who want flexible and scalable remote income sources.
- Professionals with visual detail orientation and structure-driven workflows.
- Individuals interested in remote AI work for Kenyan professionals.
Benefits of Joining Fuzu as a Remote Annotator
- Immediate exposure to AI-powered projects used in global product development.
- Build your resume with high-impact datasets and platforms.
- Direct mentorship from data scientists and project engineers.
- Get early access to future AI-focused projects, tools, and partnerships.
- Contribute to training real machine learning models used across the world.
Career Development Pathway
Fuzu believes in career acceleration through learning and doing. High-performing data annotators often grow into:
- AI QA Analysts (checking other annotators’ work)
- Project Team Leads or Remote Operations Coordinators
- Specialists in 3D annotation, NLP tagging, or document annotation
- Machine Learning Engineers (with further training and upskilling)
We offer career guidance, learning resources, and recommend paid certification paths for those looking to advance their tech careers.
Recruitment Process & Screening
To ensure only the best talent is engaged, Fuzu follows a strict multi-step recruitment process:
- Application Screening: Our system checks your resume for annotation and tech-related keywords.
- Skill Test: You’ll complete a sample annotation task (usually 30 minutes – 1 hour).
- Interview: Selected candidates are interviewed by a QA Lead or Project Manager.
- Background Check: Final vetting step to confirm educational and work history.
- Onboarding: Receive account access, training material, and task portal credentials.
Important: If you’ve already been part of a recruitment process for any Fuzu annotation job, DO NOT REAPPLY. Your profile is in our system.
How to Apply
Step into the AI space with one of the most exciting remote data labeling jobs in Kenya. Click below to apply now:
➡️ Apply for Remote Computer Vision Annotator Role
Before applying, ensure that:
- Your CV reflects tech, annotation, or analytical experience
- You include your availability and work equipment setup
- You highlight any annotation platforms/tools used
TAGS:
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