Language Model Analyst - Part-Time - Remote

About the Role

We are seeking a dedicated Language Model Analyst - Part-Time - Remote to join our innovative team. In this role, you will leverage your expertise in language evaluation and model analysis to support cutting-edge AI research projects. This position is ideal for individuals passionate about language processing and AI technologies, looking for a flexible work schedule.

Responsibilities

• Conduct thorough fact-checking using reliable public sources and external tools.
• Generate high-quality evaluation data by assessing response strengths, areas for improvement, and factual inaccuracies.
• Evaluate the quality of reasoning, clarity, tone, and completeness of AI-generated responses.
• Ensure model outputs align with expected conversational behavior and established guidelines.

Requirements

• Bachelor's degree in a relevant field.
• Native proficiency in Kannada.
• Significant experience with large language models (LLMs).
• Excellent writing and communication skills in English.
• Strong attention to detail and analytical thinking capabilities.
• Background in structured analytical domains is preferred.

Benefits

As a part-time Language Model Analyst, you will enjoy the flexibility of remote work, allowing you to balance your professional and personal life. Additionally, you will gain valuable experience in AI research and development while contributing to exciting projects in the field.

Visa Status: Visa Provided for successful candidates.

For more opportunities, check out remote opportunities in the UAE or browse other jobs in Dubai.

• Bachelor's degree in a relevant field.
• Native proficiency in Kannada.
• Significant experience with large language models (LLMs).
• Excellent writing and communication skills in English.
• Strong attention to detail and analytical thinking capabilities.
• Background in structured analytical domains is preferred.

• Conduct thorough fact-checking using reliable public sources and external tools.
• Generate high-quality evaluation data by assessing response strengths, areas for improvement, and factual inaccuracies.
• Evaluate the quality of reasoning, clarity, tone, and completeness of AI-generated responses.
• Ensure model outputs align with expected conversational behavior and established guidelines.