AI Trainer
Location: Remote
Employment Type: Contract / Part-time / Project-based
Abaka AI is a fast-growing AI data provider working with some of the world’s leading AI labs on cutting-edge projects. We specialize in delivering high-quality multimodal datasets (text, image, video, audio) that power the next generation of AI models.
Role OverviewWe are seeking motivated Data Annotators / AI Trainers to join our growing Talent Pool. As part of our annotation team, you will play a critical role in shaping the accuracy and performance of AI systems by providing structured, high-quality data annotations across diverse domains.
Key ResponsibilitiesAnnotate, label, and categorize datasets across modalities (audio, video, image).
Ensure accuracy, consistency, and quality of annotations according to detailed project guidelines.
Collaborate with project managers and QA teams to meet deadlines and quality standards.
Participate in specialized tasks such as evaluation of AI model outputs or domain-specific labeling projects.
QualificationsExcellent English proficiency (written and spoken) is required.
Generalist annotators with excellent attention to detail are required.
Ability to follow structured guidelines with precision and consistency.
Comfortable working with digital tools and platforms for data annotation.
Reliable, self-motivated, and able to meet deadlines.
Preferred (Nice-to-Have)Background in STEM fields (Science, Technology, Engineering, Math) OR proven experience in annotation work (video, audio, or image)
Previous experience in data labeling/annotation for AI/ML projects.
Multilingual capabilities (advantageous for certain projects).
Compensation (Transparent Pay)Compensation is project-based and varies depending on task complexity and volume.
Baseline rates: $25 - $80 / hour
All rates are shared upfront before project assignment, ensuring transparency.
High-performing annotators will be prioritized for higher-paying specialized projects.
What We Offer
Opportunity to work with top-tier AI labs on impactful, global projects.
Flexible, remote-friendly work environment.
Training, guidance, and continuous project opportunities based on performance.
Chance to contribute directly to the development of next-generation AI models
Link To Apply:
