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Remote Text & Document Annotation Jobs in North America 2026
22 remote jobs open to candidates in North America in Text & Document Annotation. Updated daily.
The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems. The typical data labeling analyst will have experience in data quality assurance.
The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems. The typical data labeling analyst will have experience in data quality assurance.
Language Requirements: English Speakers with ES Summary: The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems. The typical data labeling analyst will have experience in data quality assurance.
The Content Specialist will play a key role in keeping the quality of Meta's content experiences high across Meta platforms and products.
Fluent Language Skills Required: Korean. Native fluency in Korean, including full command of Hangul, is required for this position. All annotation and transcription work is performed in Korean.
Fluent Language Skills Required: Japanese. Native fluency in Japanese, including full command of kanji, hiragana and katakana, is required for this position. All annotation and transcription work is performed in Japanese.
Are you ready to turn your time into a steady stream of earnings? Appen is on the lookout for individuals like you to take on a variety of tasks, including annotations, classifications, categorizations, sentiment analysis, and more. Why Join Appen?
Are you a Social Media Annotation eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of linguistic discovery.
Annotate and validate tax forms for AI training by applying tax law expertise, structured data labeling, and document annotation skills in a fully remote contractor role.
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
You'll label text data focused on instruction-following behavior — specifically, evaluating whether a model's output correctly satisfies the constraints and intent of a given user instruction.
Deep Reading: You will read and review entire manuscripts (65k–150k+ words) to ensure literary quality, you won't be required to listen to the audios. The Tech: Use our web-based platform which suggests corrections for you to validate or override.
Deep Reading: You will read and review entire manuscripts (65k–150k+ words) to ensure literary quality, you won't be required to listen to the audios. The Tech: Use our web-based platform which suggests corrections for you to validate or override.
We need people who can label data accurately at scale. You will work through queues of text snippets, images, or document-image pairs, tagging each item according to a detailed schema.
You will classify and label text, image, and mixed-media data sets that go straight into training pipelines at major AI research labs. The work is detail-heavy: every annotation you submit gets checked against a rubric before it counts.
Your main job is to turn unstructured data into labeled training examples. Depending on the project, that might mean highlighting spans of text, drawing bounding boxes, assigning categorical labels, or ranking items by relevance.
You will classify and label text, image, and mixed-media data sets that go straight into training pipelines at major AI research labs. The work is detail-heavy: every annotation you submit gets checked against a rubric before it counts.
Your main job is to turn unstructured data into labeled training examples. Depending on the project, that might mean highlighting spans of text, drawing bounding boxes, assigning categorical labels, or ranking items by relevance.
This role puts you at the center of the data pipeline. You will apply annotation schemas to raw text and images so that downstream ML models can learn from clean, consistent labels.
Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems.
Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems.