AI Trainer Jobs in India

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

Job summary

Rex.zone is looking for an experienced AI Trainer for a remote, full-time position focusing on improving AI systems. You'll be tasked with executing RLHF, data labeling, prompt evaluation, and QA evaluation to enhance model quality. Candidates should have mid-senior experience in data workflows and strong communication skills. Compensation is competitive at $30–$50/hr, with potential tasks across NLP, computer vision, and content safety labeling workflows.

Qualifications

• Mid-senior experience in data labeling, evaluation, or applied AI workflows.
• Strong written communication for rubric-based judging and rationale writing.
• Ability to follow detailed guidelines with high inter-annotator consistency.
• Familiarity with RLHF concepts, model evaluation, and prompt evaluation.
• Comfort with spreadsheets and QA workflows.

Responsibilities

• Execute RLHF and preference ranking tasks on model outputs.
• Perform prompt evaluation and response grading using strict rubrics.
• Label and verify training data for NLP and computer vision annotation.
• Run QA evaluation to catch ambiguity, leakage, and policy violations.

Skills

Data labeling

Model evaluation

Rubric-based judging

Communication skills

Consistency in annotation

Spreadsheets

QA workflows

Job description

Overview

AI Trainer Jobs in India (Remote, Full-Time) Rex.zone connects qualified AI trainers with teams building and evaluating production AI. In this role, you will improve large language models and multimodal systems through RLHF, data labeling, prompt evaluation, and QA evaluation to raise training data quality and reduce model errors across LLM training pipelines.

Responsibilities

• Execute RLHF and preference ranking tasks on model outputs; compare and rank responses and write clear rationales
• Perform prompt evaluation and response grading using strict rubrics
• Label and verify training data for NLP and computer vision annotation as needed
• Apply named entity recognition and text classification guidelines
• Run QA evaluation to catch ambiguity, leakage, and policy violations
• Perform content safety labeling for sensitive and policy-relevant content
• Document edge cases and propose guideline updates to improve annotation guidelines compliance
• Track recurring error patterns and dataset issues that impact model performance improvement

Qualifications

• Mid-senior experience in data labeling, evaluation, or applied AI workflows
• Strong written communication for rubric-based judging and rationale writing
• Ability to follow detailed guidelines with high inter-annotator consistency
• Familiarity with RLHF concepts, model evaluation, and prompt evaluation
• Comfort with spreadsheets, annotation tools, and QA workflows
• Reliable connectivity and ability to collaborate with distributed teams remotely

Work Arrangement

Remote, FULL_TIME role supporting global teams while targeting candidates interested in AI trainer jobs in India. Work may rotate across NLP, computer vision, and content safety labeling workflows.

Compensation

Competitive hourly rate: $30–$50/hr.