Remote Data Labeling Jobs in Ottawa

About Rex.zone Rex.zone is hiring for remote data labeling jobs aligned to Ottawa job seekers supporting AI/ML training workflows. You will create and evaluate high-quality training data for large language models and computer vision systems, improving training data quality and model performance. What You Will Do Label and review text, image, audio, or video data using project-specific annotation tools and taxonomies. Follow annotation guidelines compliance requirements and document edge cases for consistent decision-making. Complete RLHF tasks such as preference ranking, pairwise comparisons, and rubric-based scoring for LLM outputs. Perform prompt evaluation and response grading for helpfulness, correctness, and safety. Execute QA evaluation by auditing samples, measuring inter-annotator agreement, and escalating ambiguity. Apply named entity recognition (NER) labels and structured extraction schemas for NLP datasets. Support computer vision annotation (bounding boxes, segmentation masks, keypoints) when assigned. Contribute to content safety labeling for policy categories (hate, harassment, self-harm, sexual content) as required. Provide feedback to improve guidelines, reduce ambiguity, and increase throughput without sacrificing quality. Required Qualifications Mid-Senior experience with data labeling or data annotation in AI/ML production settings. Experience with LLM evaluation workflows (RLHF, prompt evaluation, or QA evaluation). Strong written communication and structured reasoning for labeling rationale and dispute resolution. Comfort working remotely with asynchronous collaboration, quality targets, and audit-driven processes. Compensation Hourly base pay range: $30–$50/hr (USD).

Create and evaluate high-quality training data for LLMs and computer vision systems through labeling and RLHF tasks. Perform QA audits, prompt evaluations, and provide feedback to improve annotation guidelines.

Requires mid-senior experience in AI/ML data labeling and familiarity with LLM evaluation workflows. Candidates must possess strong written communication skills and the ability to work effectively in a remote, asynchronous environment.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Labeling
• Data Annotation
• RLHF
• Prompt Evaluation
• QA Evaluation
• Named Entity Recognition
• Computer Vision Annotation
• Content Safety Labeling
• NLP
• Structured Reasoning
• Asynchronous Collaboration
• Text Annotation
• Image Annotation
• Audio Annotation
• Video Annotation
• Rubric-based Scoring

• Data & Analytics
• Technology
• Software
• Science & Research
• Engineering

Expérience minimale

2+ ans

Postuler avant le

29 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Ottawa, Ontario, Canada

Niveau d’expérience

Mid-Senior level