AI delivery
AI Data Annotation Specialist, English
About the role
The models people use every day were shaped by human judgement at scale, and that judgement has to come from somewhere. This is where. You will annotate, label and evaluate the data that determines how AI systems behave, on programmes run for clients including major model developers.
Fully remote anywhere in Canada, flexible hours, minimum twenty-five hours weekly. No prior AI experience required. What is required is care, and most people underestimate how demanding that is over a long shift.
What you will do
Annotate and label English text, image, audio and multimodal data to detailed project guidelines. Evaluate and rank model outputs on accuracy, helpfulness, safety and tone. Write and correct reference responses where a task requires it. Identify harmful, biased or factually incorrect model output and categorise it according to the programme's taxonomy. Transcribe and verify audio including accented and conversational speech. Flag guideline ambiguity rather than resolving it silently. Maintain inter-annotator agreement above the programme threshold and act on quality feedback.
What you bring
English at C2, with strong reading comprehension and clear written expression. Excellent attention to detail sustained over time. Sound judgement on ambiguous cases and the ability to write down why you decided as you did. Reliable internet and a computer. Availability for at least twenty-five hours weekly within agreed windows. Legal entitlement to work in Canada.
Nice to have
A postsecondary degree in any field. Prior annotation, editorial, teaching, research, translation or quality assurance experience. Subject depth in any specialised domain, since specialist programmes pay at higher tiers. A second language.
What we offer
Fully remote and flexible. Tiered hourly rates that rise with demonstrated quality. Paid guideline training per programme. Steady volume across multiple concurrent programmes rather than feast and famine. A genuine entry route into AI operations, and a track record of promoting annotators into reviewer, quality lead and coordinator roles.
How to apply
Our process
- 1. Our talent team reviews every application against the role requirements.
- 2. Shortlisted candidates are invited to interview, which may include a role-related assessment.
- 3. We share the decision with everyone we interview, whether or not the application progresses.
Most decisions follow within a few weeks of the closing date. Urgent roles are prioritised.