Job Overview
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Job Description
Online STEM Engineer Canada
Rex.zone is seeking an Online STEM Engineer in Canada to support AI/ML training pipelines. This role is crucial for enhancing training data quality and achieving measurable model performance improvements. The position is full-time and fully remote.
What You Will Do
- Own end-to-end remote engineering tasks supporting AI/ML data and evaluation workflows.
- Build and maintain annotation tooling and lightweight pipelines.
- Execute QA evaluation, audit sampling, and inter-annotator agreement checks.
- Run prompt evaluation and large language model evaluation.
- Partner with stakeholders to define metrics, acceptance criteria, and documentation for model performance improvement.
Core Workstreams
- NLP: named entity recognition, text classification, instruction-following evaluation, response ranking
- Computer Vision: bounding boxes, polygons, keypoints, and CV annotation QA
- Content Safety: policy-aligned labeling, edge-case taxonomy building, escalation workflows
Required Qualifications
- Mid-Senior experience in production or applied research engineering.
- Strong Python skills, including data processing and evaluation harnesses.
- Familiarity with machine learning concepts, LLM evaluation, and large-scale data labeling.
- Experience with annotation guidelines compliance and QA evaluation.
- Clear communication skills for distributed, remote-first teams.
How To Apply
Submit your application with a resume and a short summary of relevant NLP, computer vision annotation, RLHF, data labeling, or QA evaluation experience. Include examples of documentation (rubrics, guidelines, evaluation plans) and reproducible work samples where applicable.
Key skills/competency
- Python
- AI/ML
- RLHF
- Data Labeling
- QA Evaluation
- Prompt Evaluation
- LLM Evaluation
- NLP
- Computer Vision
- Remote Engineering
How to Get Hired at Rex.zone
- Tailor your resume: Highlight Python, AI/ML, RLHF, data labeling, and QA evaluation experience.
- Showcase your work: Include documentation examples like rubrics and evaluation plans.
- Provide samples: Attach reproducible work samples demonstrating relevant skills.
- Emphasize remote skills: Detail your experience in distributed, remote-first team environments.
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