Start as a remote labeler, or join our Nairobi team. Either way, you get paid training and a clear path to grow.
We combine practical training, flexible opportunities and a professional quality culture.
Contribute to datasets used to develop computer vision, autonomous systems, language models, robotics and other AI technologies.
Gain practical experience with annotation platforms, AI workflows, quality assurance and emerging technologies.
Access project-based and ongoing opportunities depending on your skills, availability and project requirements.
Build experience that can lead to annotation, QA, team leadership, project coordination and AI data operations.
Collaborate with trained annotators, reviewers, quality analysts, project managers and technical teams.
Receive transparent compensation based on project, task type, qualification and agreed engagement model.
Flexible hours · Paid per task or per hour
Native Swahili and fluent English
6+ months annotation experience
Team leadership experience
B2B or ML background
Here's how you move from application to active work.
Submit your profile for an open position or join our talent network.
We review skills, experience, language abilities and project suitability.
Depending on the role, complete project training and a qualification assessment.
Successful candidates become eligible for the relevant project or role.
Qualified team members receive assignments based on availability, skills and client requirements.
07 roles
Image, video, LiDAR, 3D, NLP, audio and egocentric video annotators.
05 roles
Quality reviewers, QA specialists, team leads, project coordinators and operations specialists.
06 roles
Transcribers, translators, language annotators, AI evaluators, LLM evaluators and search quality evaluators.
05 roles
Data analysts, processing specialists, automation, annotation-tool and GIS/data specialists.
For many roles, the most important qualities are attention to detail, consistency, learning ability, computer literacy, communication, a quality mindset and reliability.
Identify small differences and follow precise instructions.
Apply the same rules across thousands of examples.
Quickly understand new guidelines and tools.
Comfortable with web-based software and digital tools.
Understand instructions and communicate edge cases clearly.
Prioritize accurate work rather than simply completing tasks quickly.
Meet agreed schedules and project requirements.
Many annotation projects require specialized knowledge. We provide project-specific training, guidelines, practice tasks, assessments and feedback before production.
Learn the specific annotation guidelines and workflow.
Work through examples before production.
Understand mistakes and improve accuracy.
Build experience across different data types and AI workflows.
Experienced workers can progress into reviewer, QA, team-lead and operations roles.
