Remote AI Engineer (United States)

About the job Remote AI Jobs in the United States (Rex.zone) Rex.zone is hiring a Mid-Senior Remote AI Engineer to improve model quality and reliability for LLM and multimodal systems. You will build evaluation harnesses, integrate RLHF workflows, and partner with data operations to raise training data quality across NLP and computer vision use cases. Key Responsibilities Build and maintain LLM evaluation pipelines (rubric-based grading, pairwise preference tests) Integrate RLHF signals and feedback loops for safer, higher-quality outputs Define and iterate on annotation guidelines compliance checks and quality gates Develop prompt evaluation and regression suites to detect quality drops across releases Support NLP (e.g., named entity recognition) and CV (e.g., computer vision annotation) workflows Implement content safety labeling strategies and audit-friendly reporting Create dashboards/monitoring for training data quality, evaluation metrics, and production health Improve tooling and automation for QA evaluation, labeling workflows, and review operations Required Qualifications Mid-Senior experience shipping AI/ML systems in production Strong Python and ability to build reliable data/evaluation pipelines Hands-on experience with model evaluation, prompt evaluation, and experiment design Understanding of RLHF concepts and preference modeling workflows Ability to turn ambiguous quality issues into measurable metrics and engineering tasks Comfort collaborating across product, data operations, and QA Remote Work and Location This is a fully remote role aligned to United States hiring and payroll requirements. How To Apply Apply via Rex.zone and include a resume highlighting evaluation pipelines, RLHF, data labeling or QA evaluation, and production ML engineering experience. Desired Skills and Experience Python, LLM evaluation, RLHF, Prompt evaluation, Model evaluation, MLOps, Training data quality, Data labeling, NLP, Computer vision