Remote data annotation jobs are a key part of building and training artificial intelligence systems. Data annotators working remotely label, categorize, and review datasets that help machine learning models recognize text, images, audio, and video more accurately. These roles are essential to improving the quality and reliability of AI applications used in industries from healthcare to autonomous vehicles.
Most remote data annotation roles require strong attention to detail, analytical thinking, and basic computer literacy. Some positions focus on text tagging, image labeling, or speech transcription, while others involve more advanced AI training and quality review. Experience with tools like Labelbox, Scale AI, Amazon SageMaker Ground Truth, or SuperAnnotate can be an advantage.
Whether you are entering the AI workforce or expanding your technical skill set, data annotation offers accessible remote opportunities across tech, education, and AI research organizations.
Browse the latest remote data annotation jobs, updated daily from global employers building the next generation of AI systems.
