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Remote Generalist Jobs in India

Rex.zone
Department:Administrative
Type:REMOTE
Region:Chicago, IL
Location:United States
Experience:Mid-Senior level
Salary:$62,400 - $104,000
Skills:
DATA LABELINGRLHFQA EVALUATIONANNOTATION GUIDELINESPROMPT EVALUATIONLLM EVALUATIONRUBRIC-BASED SCORINGERROR CATEGORIZATIONDOCUMENTATIONDATA QUALITYTASK MANAGEMENTSPREADSHEETS
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Job Description

Posted on: August 16, 2026

About The Role You will work remotely as a generalist supporting end-to-end delivery of AI training data workflows. This includes coordinating annotation tasks, maintaining documentation, validating guideline adherence, and helping teams resolve edge cases that impact model evaluation and training data quality. Key Responsibilities

  • Coordinate daily execution across data labeling, RLHF evaluation, and QA review queues
  • Perform task triage, clarify requirements, and escalate ambiguous edge cases using annotation guidelines
  • Run quality checks to support annotation guidelines compliance and training data quality targets
  • Support prompt evaluation and LLM evaluation workflows, including rubric-based scoring and error categorization
  • Maintain structured documentation, change logs, and decision records for consistent delivery
  • Track throughput, rework rates, and quality metrics that influence model performance improvement
  • Support projects spanning named entity recognition, classification, summarization, content safety labeling, and computer vision annotation

Required Skills And Qualifications

  • Experience operating in cross-functional environments with high attention to detail and process discipline
  • Practical familiarity with AI/ML data operations concepts such as data labeling, QA evaluation, and RLHF
  • Ability to follow and enforce annotation guidelines and rubrics with consistent judgment
  • Strong written communication for documentation, handoffs, and issue reporting
  • Comfort working with structured datasets, spreadsheets, and task management tools

Compensation Competitive hourly pay: $30–$50 per hour (USD), based on experience and project needs.

Originally posted on LinkedIn

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