Publié il y a 2 mois
AI Trainer Jobs in Canada
@ RemoExperts
Canada
SIGNAUX
En bref
RemoExperts is hiring full-time AI Trainers in Canada to improve large language models. The work covers RLHF evaluations, prompt evaluation, data labeling and QA checks under detailed annotation guidelines. Hourly base pay is $30 to $50.
Responsabilités :
- Perform RLHF evaluations and write rationales
- Execute prompt evaluation for instruction-following, factuality and safety
- Label and validate NLP and content safety datasets
- Run QA evaluation checks and document edge cases
- Collaborate on rubrics, gold sets and calibration
Résumé des exigences :
- Experience with structured, guideline-driven evaluation
- Strong writing for rationales and edge-case notes
- Familiarity with RLHF and LLM evaluation workflows
- Comfort with data labeling and QA processes
- Bonus: multilingual, NER or multimodal evaluation
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-09-22
- Première détection par notre source
- 2026-11-15
- Mise à jour du dossier source
- 2026-11-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Données et analytique |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
RemoExperts
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Description
About The Role
AI Trainer jobs in Canada focus on improving large language models through RLHF-style evaluations, prompt evaluation, data labeling, and QA evaluation across real AI/ML training pipelines. You will follow detailed annotation guidelines, verify training data quality, and provide structured feedback that improves helpfulness, correctness, and safety.
What You’ll Do
Browse roles on Rex.zone and apply with a resume highlighting RLHF, data labeling, QA evaluation, annotation guidelines compliance, and examples of model evaluation feedback.
Hourly base pay range: $30–$50.
AI Trainer jobs in Canada focus on improving large language models through RLHF-style evaluations, prompt evaluation, data labeling, and QA evaluation across real AI/ML training pipelines. You will follow detailed annotation guidelines, verify training data quality, and provide structured feedback that improves helpfulness, correctness, and safety.
What You’ll Do
- Perform RLHF evaluations (pairwise ranking, rubric-based scoring) and write clear rationales
- Execute prompt evaluation for instruction-following, factuality, and safety
- Label and validate datasets for NLP and content safety labeling
- Run QA evaluation checks (consistency, agreement, systematic error discovery)
- Document edge cases and build error taxonomies to drive model performance improvement
- Collaborate on rubrics, gold sets, calibration, and regression testing for model updates
- Experience with structured evaluation and guideline-driven judgment
- Strong writing and documentation for rationales and edge-case notes
- Familiarity with RLHF, LLM evaluation, and prompt evaluation workflows
- Comfort with data labeling, QA evaluation, and training data quality processes
- Bonus: multilingual evaluation, NER/classification tasks, or multimodal evaluation
Browse roles on Rex.zone and apply with a resume highlighting RLHF, data labeling, QA evaluation, annotation guidelines compliance, and examples of model evaluation feedback.
Hourly base pay range: $30–$50.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.