About Outlier (Scale AI) Outlier is a platform operated by Scale AI that connects experts with opportunities to train and improve advanced AI systems. Contributors work on real-world tasks that help refine how AI models understand and generate content. Role Overview We…
Remote Data Annotation & Labeling Jobs in North America 2026
235 remote jobs open to candidates in North America in Data Annotation & Labeling. Updated daily.
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.
We are looking for English native speakers who are Learners of French and/or SPANISH (latam) to record simple utterances in different proficiency level.
HireArt is recruiting an Audio AI Specialist to support the development of high-quality speech datasets for next-generation voice AI systems.
OneForma is recruiting participants for the UHRS Crowd Labeling Tasks project. In this initiative, you complete small data annotation and evaluation tasks designed to support the development of artificial intelligence technologies.
Outlier, a platform operated by Scale AI, is seeking English-speaking professionals to help train and refine advanced AI systems.
What would you do: Record a few words and sentences in Hindi (10 minutes or less). Hindi level: - Beginner - Intermediate - advanced Tool: Online user-friendly tool. Native Language: Any (Native Hindi are not allowed) Payment: We will pay 30 min for 10 min of recordings.
We need annotators who can mark visual data accurately and efficiently. You will work through image queues, applying labels, bounding boxes, keypoints, or segmentation masks according to project-specific guidelines.
We need annotators who can mark visual data accurately and efficiently. You will work through image queues, applying labels, bounding boxes, keypoints, or segmentation masks according to project-specific guidelines.
We need annotators who can mark visual data accurately and efficiently. You will work through image queues, applying labels, bounding boxes, keypoints, or segmentation masks according to project-specific guidelines.
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.
Your work turns raw images into structured training data for vision models. On any given day you might label objects in street scenes, segment tumors in medical scans, or identify products on retail shelves.
This role is about precision marking. You will use our web-based annotation tool to identify and outline objects in images, classify their properties, and annotate spatial relationships.
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.
As a Generalist AI Trainer (Visual Content), you will contribute to the development and evaluation of advanced AI systems by working with image-based content under clearly defined guidelines.
Your job is to generate high-quality human demonstration data by playing games and simulations under controlled conditions. You will follow session protocols that specify the game, the scenario, the objectives, and the annotation requirements.
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 job is to generate high-quality human demonstration data by playing games and simulations under controlled conditions. You will follow session protocols that specify the game, the scenario, the objectives, and the annotation requirements.
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.
No experience required. All you need is: ✔ A laptop ✔ A microphone ✔ The ability to speak naturally in your native language and understand a second language well You and another speaker will record short, everyday conversations (about 5 minutes each) on simple topics like…
No experience required. All you need is: ✔ A laptop ✔ A microphone ✔ The ability to speak naturally in your native language and understand a second language well You and another speaker will record short, everyday conversations (about 5 minutes each) on simple topics like…
No experience required. All you need is: ✔ A laptop ✔ A microphone ✔ The ability to speak naturally in your native language and understand a second language well You and another speaker will record short, everyday conversations (about 5 minutes each) on simple topics like…