STEM Research Engineer (Canada)

Rex.zone; United States; On-site; USD 41,328 - 68,880; Full time

Job summary

A tech company specializing in AI research is looking for a STEM Research Engineer to enhance applied AI/ML workflows including LLM training and dataset development. This remote, full-time position requires mid-senior experience in STEM research and strong Python skills. The role involves designing experiments, maintaining training pipelines, and ensuring data quality. Ideal candidates will have expertise in NLP and computer vision, along with a solid background in statistical reasoning and experimentation. Competitive compensation ranges from $30–$50 per hour.

Qualifications

• Mid-Senior experience in STEM research or applied ML research roles.
• Hands-on experience with NLP, computer vision, or multimodal evaluation.
• Knowledge of data labeling, QA evaluation, and annotation guidelines.

Responsibilities

• Design and execute STEM research experiments for model performance.
• Build and maintain LLM training pipelines with data labeling and QA.
• Develop scoring rubrics for large language model evaluation.
• Implement training data quality checks and documentation.

Skills

Python for data processing

NLP experience

Computer vision experience

Strong experiment design

Statistical reasoning

Collaboration in remote teams

Job description

STEM Research Jobs in Canada

Rex.zone is hiring a STEM Research Engineer to support applied AI/ML research and engineering workflows, including LLM training pipelines, dataset development, RLHF, prompt evaluation, and QA evaluation. This is a remote, full‑time role focused on improving training data quality and measurable model performance across NLP and computer vision.

Key Responsibilities

• Design and execute applied STEM research experiments aligned to model performance improvement and deployment constraints
• Build and maintain LLM training pipelines combining data labeling, RLHF signals, and QA evaluation outputs
• Develop prompt evaluation protocols and scoring rubrics for large language model evaluation
• Implement training data quality checks: annotation guidelines compliance, inter‑annotator agreement, and sampling audits
• Run error analysis for NLP and computer vision tasks (e.g., named entity recognition and annotation edge cases)
• Support content safety labeling workflows with taxonomies, adjudication rules, and escalation criteria
• Produce reproducible documentation, experiment logs, and code to ensure traceability
• Communicate findings and recommendations to technical and non‑technical stakeholders

Required Qualifications

• Mid‑Senior experience in STEM research, applied ML research, or engineering research roles
• Strong Python for data processing, experiment automation, and evaluation tooling
• Hands‑on experience with NLP, computer vision, or multimodal evaluation
• Knowledge of data labeling, QA evaluation, and annotation guidelines compliance
• Familiarity with RLHF and prompt evaluation methods
• Strong experiment design and statistical reasoning
• Experience collaborating in remote, cross‑functional teams

Compensation

$30–$50 per hour (base salary).

Remote, full‑time.