STEM Careers India Engineer

About the role

Rex.zone connects India-aligned STEM talent with Remote, Full-Time engineering programs supporting AI/ML training workflows. You will help improve training data quality and evaluation rigor across LLM training pipelines, RLHF, and model evaluation.

Key Responsibilities

• Design and improve LLM training pipelines for supervised fine-tuning and RLHF
• Build and maintain annotation tooling, task routing, and QA evaluation checks
• Define labeling taxonomies for NLP tasks (e.g., named entity recognition, classification)
• SUPPORT computer vision annotation workflows (bounding boxes, polygons, segmentation QA)
• Run prompt evaluation and rubric-based model evaluation to identify failure modes
• Implement content safety labeling policies, audits, and escalation paths
• Create annotation guidelines, sampling plans, and ensure annotation guidelines compliance
• Analyze training data quality metrics, disagreement patterns, and error distributions
• Document datasets and evaluation artifacts for traceability and reproducibility

Required Qualifications

• Mid-Senior experience in engineering, data operations engineering, or applied ML workflows
• Hands-on experience with data labeling systems, QA evaluation, or model evaluation pipelines
• Familiarity with RLHF concepts and large language model evaluation methods
• Working knowledge of NLP and/or computer vision annotation
• Strong written communication for remote collaboration

How To Apply

Apply via Rex.zone and highlight experience in training data quality, annotation guidelines compliance, QA evaluation, RLHF, prompt evaluation, NLP/NER, computer vision annotation, and content safety labeling.