Most In Demand STEM Jobs Canada (Remote)

Rex.zone; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

Rex.zone is seeking candidates for remote, full-time STEM roles focused on AI/ML training workflows. Responsibilities include producing high-quality labels, supporting model training with evaluations, and refining annotation guidelines. Applicants should align their resumes with skills like QA evaluation and data labeling. Experience in NLP or computer vision is beneficial.

Qualifications

• Experience in producing and validating high-quality labels for AI systems.
• Familiarity with QA sampling and adjudication workflows.
• Strong understanding of error analysis and model evaluation.

Responsibilities

• Validate high-quality labels and evaluations for AI systems.
• Improve annotation guidelines and document updates.
• Run QA sampling and calibration workflows.

Skills

QA evaluation

Data labeling

Prompt evaluation

Training data quality

Job description

Overview

Rex.zone is recruiting for high-demand STEM roles aligned to AI/ML training workflows and applied engineering. These are remote, full‑time opportunities supporting large language model evaluation, RLHF‑adjacent feedback loops, data labeling, QA evaluation, prompt evaluation, and training data quality across NLP, computer vision, and content safety.

What You Will Do

• Produce and/or validate high‑quality labels, judgments, and evaluations for AI systems
• Follow and improve annotation guidelines compliance; document edge cases and rubric updates
• Run QA sampling, adjudication workflows, and inter‑annotator agreement calibration
• Perform error analysis and structured evaluation to drive model performance improvement
• Support LLM training pipelines with prompt evaluation and safety/reliability assessments

Example focus areas (role‑dependent)

• NLP: named entity recognition, text classification, intent labeling
• Computer vision: bounding boxes, segmentation, dataset QA
• Content safety labeling and policy‑aligned evaluation
• Data/ML engineering: data pipelines, evaluation harnesses, monitoring and drift checks

How To Apply

Apply on Rex.zone and confirm eligibility during the application process. Align your resume to skills like QA evaluation, data labeling, prompt evaluation, and training data quality.