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Remote AI Jobs Canada

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Remote AI Jobs Canada

Rex.zone

Remote AI Jobs Canada

Skills

Testing & QAMachine LearningAIGDPRNLP / Natural Language ProcessingCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Remote

Published on:

19 August 2026

What they need


Overview Remote AI jobs Canada on Rex.zone focus on practical AI/ML training workflows—data labeling, RLHF, prompt evaluation, and QA evaluation used to improve large language models and multimodal systems. You will help turn raw text, images, audio, and conversations into high-quality training data and structured evaluations for real production pipelines.

What You’ll Work On

  • Training data quality checks for text, image, and multimodal datasets
  • RLHF: ranking model outputs, preference labeling, rubric-based evaluation
  • Prompt evaluation and response grading for helpfulness, correctness, and safety
  • Named entity recognition (NER) and span-level annotation for NLP pipelines
  • Computer vision annotation (bounding boxes, polygons, keypoints) plus QA review
  • Content safety labeling for policy compliance and risk reduction
  • Error analysis and reporting to improve guidelines and reduce rework

Responsibilities

  • Follow annotation guidelines and document edge cases clearly
  • Perform QA evaluation, resolve disagreements, and calibrate with reviewers
  • Track labeling accuracy, throughput, and rework rates to protect data integrity
  • Provide structured feedback on prompts, rubrics, and evaluation metrics
  • Maintain privacy and security standards when handling sensitive content
  • Contribute to continuous improvement for LLM training pipelines and evaluation sets

Required Qualifications

  • 3+ years in AI data operations, data labeling, QA, or model evaluation
  • Experience with RLHF-style preference data or prompt evaluation workflows
  • Strong attention to detail and ability to apply rubrics consistently
  • Comfort with ambiguous language tasks and iterative guideline updates
  • Familiarity with NLP concepts (tokenization, entities, intent) or CV concepts (boxes, segmentation)
  • Clear communication of findings to engineering and project leads

Nice to Have

  • Experience with content safety labeling and policy-based evaluations
  • Experience measuring inter-annotator agreement and improving calibration
  • Exposure to production QA systems, audit sampling, and escalation workflows

Compensation Competitive hourly rate: $30–$50/hour (USD), based on experience and project fit.

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