Politics Domain Expert – AI Evaluation – Kolkata, India

Bring your political expertise to the questions shaping AI. Fusion CX is hiring a Politics Domain Expert in India for a contractual opportunity focused on evaluating and improving Large Language Models (LLMs). If you have a strong background in political science, governance, elections, public policy, or international relations, this opportunity allows you to apply your subject-matter expertise to challenging AI evaluation tasks.

You will design advanced prompts, assess AI-generated responses for factual accuracy and reasoning, identify knowledge gaps and hallucinations, and provide evidence-based feedback to help improve AI model performance.

Job Description:

Role Overview

As a Politics Domain Expert, you will evaluate and improve Large Language Models by applying your expertise across political science, governance, elections, public policy, and international relations. You will develop challenging evaluation prompts, assess AI-generated responses, identify inaccuracies and reasoning issues, and contribute to benchmark datasets and adversarial test cases.

Key Responsibilities

  • Create advanced prompts covering political science, governance, elections, public policy, and international relations.
  • Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance.
  • Identify hallucinations, logical inconsistencies, outdated information, and edge cases.
  • Develop benchmark datasets and adversarial test cases.
  • Provide evidence-based feedback with reliable references.
  • Collaborate with AI researchers to improve model performance.
  • Maintain high annotation quality and documentation.

Job Requirements:

Minimum Qualifications

  • Master’s degree or higher in a discipline related to Politics.
  • 3+ years of professional, research, or teaching experience.
  • Excellent written English and analytical skills.
  • Strong attention to detail.

Preferred Qualifications

  • Experience with LLMs, Generative AI, prompt engineering, or AI evaluation.
  • Published research, industry recognition, or teaching experience is a plus.
  • Ability to work independently and provide objective, evidence-backed reviews.

Work Details

Location: India

Employment Type: Contractual

Work Mode: WFH

Leave Benefits: This contractual engagement does not include paid medical leave or other paid leave benefits.

Work Schedule: Full-time, 40 hours per week, with at least 4 hours of PST overlap.

Start Date: Immediate

Why Join Fusion CX?

Political knowledge becomes particularly valuable when AI systems must distinguish between accurate information, incomplete reasoning, outdated claims, and nuanced real-world context. This opportunity allows you to put your academic, research, or professional expertise to work on challenging AI evaluation tasks rather than applying it solely within a conventional politics role.

As a Politics Domain Expert, you’ll contribute to the evaluation of AI systems across areas such as governance, elections, public policy, and international relations while working alongside AI researchers to identify and address model weaknesses.

What You Will Gain

  • Apply your political science expertise to Large Language Model evaluation.
  • Gain practical exposure to Generative AI, prompt evaluation, and AI research workflows.
  • Work on challenging prompts, benchmark datasets, and adversarial test cases.
  • Strengthen your skills in evaluating factual accuracy, reasoning, completeness, and nuance in AI-generated content.
  • Develop experience providing objective, evidence-backed feedback to improve AI model performance.
  • Expand your experience at the intersection of political research, AI evaluation, LLMs, and Generative AI.

Apply Today

If you’re searching for Politics Domain Expert jobs in India, political science jobs, political research jobs, AI evaluation jobs, LLM evaluation jobs, Generative AI jobs, AI research jobs, or contract AI opportunities, apply today and bring your political expertise to the evaluation and improvement of advanced AI systems.

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