Abaka.AI is hiring for a position of AI Trainer in Remote (US only)

Link To Apply:

https://www.rex.zone/

Location: Remote (US only)

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

Tagged as: Employment