Specialists who label, classify and structure data to train accurate and reliable AI models.
AI data annotators creating the labelled data your models learn from
AI data annotators are the engine behind high-quality training datasets. They label images, text, audio and video with precise, consistent annotations that machine learning models use to learn patterns, understand language and make accurate predictions.
Their work requires meticulous attention to detail, a clear understanding of annotation guidelines and the ability to handle large volumes of data efficiently without compromising accuracy. The quality of their output has a direct impact on model performance.
Sourcewiser's offshore AI data annotators are experienced in working within structured annotation workflows and integrating with your data pipelines. They bring speed, consistency and quality to your labelling tasks, whether for computer vision, NLP or multimodal AI projects.
Our annotators are proficient in tools such as Labelbox, Scale AI, Label Studio, Roboflow, CVAT, AWS SageMaker Ground Truth and Appen, with experience spanning image segmentation, text classification, named entity recognition and more.
See what our clients have to say about working with us.
Responsibilities aligned to your goals and operational needs.










Choose from three clearly defined experience levels to match your needs.
Label images and text to spec
Follow annotation guidelines
Maintain throughput and accuracy targets
Handle complex annotation tasks
Review and QA peer annotations
Contribute to guideline updates
An example of the expertise our offshore talent brings.
Sheila
AI Data Annotator
Experience: 3+ years
Location: Philippines
Expert in:
Highlights:
Rodel
Senior AI Data Annotator
Experience: 6+ years
Location: Philippines
Expert in:
Highlights:
Sheila
AI Data Annotator
Experience: 3+ years
Location: Philippines
Expert in:
Highlights:
Rodel
Senior AI Data Annotator
Experience: 6+ years
Location: Philippines
Expert in:
Highlights:
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