Rex.zone
Verified live 2d ago
Entry Level AI Jobs in Canada
Brief overview
Remote
$30–$50/hrStated range
Attention to detailFollowing detailed guidelinesHandling ambiguous casesExplaining labeling rationaleWorking independently in remote environmentsData labelingRLHFPrompt evaluationNamed entity recognition (NER)Computer vision annotationContent moderation
About the company
Rex.zoneremoexperts.com
RemoExperts (by Abaka AI) is a global platform where skilled professionals and tutors contribute to AI training across video, image, audio, text, code, math, and more.
Job description
Summary
Rex.zone supports practical AI/ML data operations that power LLM training pipelines and model evaluation. In this remote full-time role, you will produce high-quality training data through data labeling, RLHF preference ranking, prompt evaluation, and QA evaluation while following detailed rubrics and policies.
Responsibilities
- Deliver consistent, high-accuracy labels using rubric-based decisioning
- Perform RLHF comparisons and preference judgments to support model performance improvement
- Execute prompt evaluation for helpfulness, harmlessness, and truthfulness
- Complete QA evaluation by reviewing outputs and resolving edge cases
- Apply content safety labeling policies (toxic, self-harm, sexual, violence)
- Annotate NLP datasets (named entity recognition, text classification)
- Annotate computer vision datasets (bounding boxes, segmentation)
- Document rationale and exceptions to strengthen guidelines compliance
Skills
- Strong attention to detail and ability to follow detailed guidelines
- Comfort handling ambiguous cases and explaining labeling rationale
- Ability to work independently in a distributed remote environment
- Helpful exposure: data labeling platforms, RLHF, prompt evaluation, NER, CV annotation, content moderation
Qualifications
Must Haves
- Strong attention to detail and ability to follow detailed guidelines
- Comfort handling ambiguous cases and explaining labeling rationale
- Ability to work independently in a distributed remote environment
Nice to Haves
- Helpful exposure: data labeling platforms, RLHF, prompt evaluation, NER, CV annotation, content moderation
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