Remote STEM Jobs in Canada
Remote STEM Jobs in Canada (Full Time)
LinkedIn Job Metadata: Date Posted: 25-02-2026 | Hiring Organization: Rexzone | Job Location: US | Workplace Type: Remote | Employment Type: FULL_TIME | Experience Level: Mid-Senior | Industry: Technology | Job Function: Engineering | Skills: Remote STEM, Engineering, AI/ML, LLM Evaluation, RLHF, Data Labeling, QA Evaluation, Prompt Evaluation, Named Entity Recognition, Computer Vision Annotation, Content Safety Labeling, Annotation Guidelines, Training Data Quality, LLM Training Pipelines | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR
About the role
Join our team of remote STEM professionals where you can contribute to cutting-edge projects in AI/ML, LLM evaluation, RLHF, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and more. Our team is dedicated to training data quality and LLM training pipelines.
Responsibilities
- Contribute to the development and evaluation of large language models (LLMs).
- Engage in data labeling and QA evaluation tasks.
- Implement and refine annotation guidelines for various tasks.
- Collaborate on projects related to computer vision and content safety labeling.
- Evaluate and improve training data quality for LLMs.
- Develop and maintain LLM training pipelines.
Requirements
- Experience in AI/ML, specifically in LLM evaluation and related fields.
- Strong skills in data labeling, QA evaluation, and prompt evaluation.
- Proficiency in named entity recognition, computer vision annotation, and content safety labeling.
- Knowledge of annotation guidelines and their implementation.
- Experience in improving training data quality and developing LLM training pipelines.
Qualifications
- Advanced degree in Computer Science, Artificial Intelligence, or a related field.
- At least 3 years of relevant work experience in AI/ML and related fields.
- Excellent communication and collaboration skills.
Skills
- Remote STEM
- Engineering
- AI/ML
- LLM Evaluation
- RLHF
- Data Labeling
- QA Evaluation
- Prompt Evaluation
- Named Entity Recognition
- Computer Vision Annotation
- Content Safety Labeling
- Annotation Guidelines
- Training Data Quality
- LLM Training Pipelines
Benefits
- Competitive compensation based on experience and performance.
- Flexible working hours to accommodate your needs.
- Professional development opportunities and access to cutting-edge technology.
- A supportive and inclusive work environment.
Pay
The salary range for this position is $63,360 to $126,720 per year, depending on experience and qualifications.
Schedule
This is a full-time position with a pay period of once a year.