Remote AI Annotation Jobs Open to US and Canadian Workers in 2026

What kinds of AI annotation work are available

AI annotation covers a wide range of task types, and enterprise demand in 2026 spans all of them. Text annotation involves labeling intent, sentiment, or named entities in sentences. Image annotation involves drawing bounding boxes, applying category labels, or segmenting objects in photos. Audio transcription involves converting spoken recordings to text with speaker labels and timestamps. RLHF, which stands for Reinforcement Learning from Human Feedback, involves rating or ranking AI-generated responses to help model developers fine-tune output quality.

Code review annotation is an emerging and higher-paying category, in which contributors with programming experience evaluate AI-generated code for correctness, style, and safety. Jwuma routes contributors to task types that match their skills and language profile.

1. Text annotation: sentiment analysis, intent labeling, named entity tagging.

2. Image and video annotation: bounding boxes, segmentation, action classification.

3. Audio transcription: multi-speaker, timestamp-accurate, dialect-sensitive.

4. RLHF preference rating: comparing and ranking AI outputs against a rubric.

5. Code annotation: evaluating AI-generated code for quality and correctness.

What annotators earn in the US and Canada

Pay varies by task type and skill level. For general annotation tasks, US-listed roles in 2026 typically pay between $15 and $25 per hour. Specialized work, such as code review or medical text annotation, can reach $50 to $100 per hour according to job aggregator data from ZipRecruiter and RemoWork.

Platforms hiring specifically for RLHF-style feedback roles report an average hourly figure around $40 for the broader US RLHF category, though individual rates vary by domain expertise. Jwuma pays contributors on a weekly cycle once earnings clear the minimum threshold, without requiring a third party to approve the payout.

Who is eligible to work from the US or Canada

Most Jwuma projects are open globally, but many enterprise clients specifically request native or fluent English speakers with US or Canadian cultural context. This makes North American contributors particularly well positioned for English text, audio, and RLHF projects.

1. Be at least 18 years of age.

2. Have reliable internet access and a supported device.

3. Pass the Jwuma onboarding assessment for your chosen task type.

4. Have a payment account compatible with the weekly payout cycle (most US and Canadian bank accounts qualify).

How to pass the Jwuma onboarding assessment

Every contributor takes a short, task-specific assessment before accessing paid work. The assessment is not a general aptitude test. It mirrors the actual task format you will be doing, so practicing on similar examples beforehand is the most effective preparation.

1. Create your free account at platform.corpshore.ai.

2. Select the task category matching your language skills and background.

3. Complete the sample assessment, which typically takes 15 to 30 minutes.

4. Review any feedback and re-attempt once if you do not pass on the first try.

5. Once approved, claim tasks from the available batch and begin earning.

Why enterprise clients value North American contributors

Enterprise AI teams operating in North American markets need training data that reflects how real users in those markets write, speak, and reason. A model trained on annotation from contributors unfamiliar with US idiom, regional spelling, or cultural references will produce outputs that feel off to those users.

Corpshore AI structures contributor pools by region and language so that client projects drawing on North American data are staffed predominantly by contributors based in those regions. This regional matching is part of what distinguishes Jwuma from commodity annotation platforms that treat all English as interchangeable.