Subject Matter Experts

Scope of the Role:

We are seeking experienced Subject Matter Experts (SMEs) to support the training and evaluation of advanced AI models. You will leverage your domain expertise to create, review, and validate high-quality technical content, ensuring AI-generated responses are accurate, logical, and scientifically sound.

Domains Hiring For

• High-Energy Physics Theory
• Number Theory / Competition Mathematics
• Computer Vision (Classical CV, CNNs, Video Analytics, Segmentation)
• Statistical Machine Learning (Feature Selection, Statistical Modelling)
• Natural Language Processing (NLP) with Large Language Models (LLMs)
• Signal Processing (Compressed Sensing, Digital Signal Processing, Feature Selection)
• Computational Neuroscience

What You'll Own: 

• Review the assigned domain archives thoroughly to understand the subject matter, terminology, processes, policies, historical context, and key updates.
• Extract relevant facts, concepts, scenarios, exceptions, and decision points from the archived material.
• Create clear and accurate question-and-answer pairs based only on the approved archive content.
• Cover different levels of complexity, including factual recall, conceptual understanding, application-based scenarios, reasoning, and edge cases.
• Ensure every answer is complete, unambiguous, and traceable to the relevant archive, document, or source section.
• Avoid assumptions, external information, duplicate questions, and content that is outdated or inconsistent with the latest archived version.
• Flag gaps, conflicting information, unclear language, or missing context in the archives for domain-owner clarification.
• Classify each Q&A with relevant metadata such as domain, topic, difficulty level, source archive, version/date, and reviewer status.

You'll Thrive in this Role If You Have: 

• Master's or PhD in the relevant domain
• Strong research, analytical, and problem-solving skills.
• Excellent written English communication.
• Prior experience in research, academia, or industry is preferred.
• Familiarity with AI, Machine Learning, or LLMs is an added advantage.

The expected salary range for this position is $75- $100 USD per hour, based on experience, skills, and qualifications.

 

Scope of the Role:

We are seeking experienced Subject Matter Experts (SMEs) to support the training and evaluation of advanced AI models. You will leverage your domain expertise to create, review, and validate high-quality technical content, ensuring AI-generated responses are accurate, logical, and scientifically sound.

Domains Hiring For

• High-Energy Physics Theory
• Number Theory / Competition Mathematics
• Computer Vision (Classical CV, CNNs, Video Analytics, Segmentation)
• Statistical Machine Learning (Feature Selection, Statistical Modelling)
• Natural Language Processing (NLP) with Large Language Models (LLMs)
• Signal Processing (Compressed Sensing, Digital Signal Processing, Feature Selection)
• Computational Neuroscience

What You'll Own: 

• Review the assigned domain archives thoroughly to understand the subject matter, terminology, processes, policies, historical context, and key updates.
• Extract relevant facts, concepts, scenarios, exceptions, and decision points from the archived material.
• Create clear and accurate question-and-answer pairs based only on the approved archive content.
• Cover different levels of complexity, including factual recall, conceptual understanding, application-based scenarios, reasoning, and edge cases.
• Ensure every answer is complete, unambiguous, and traceable to the relevant archive, document, or source section.
• Avoid assumptions, external information, duplicate questions, and content that is outdated or inconsistent with the latest archived version.
• Flag gaps, conflicting information, unclear language, or missing context in the archives for domain-owner clarification.
• Classify each Q&A with relevant metadata such as domain, topic, difficulty level, source archive, version/date, and reviewer status.

You'll Thrive in this Role If You Have: 

• Master's or PhD in the relevant domain
• Strong research, analytical, and problem-solving skills.
• Excellent written English communication.
• Prior experience in research, academia, or industry is preferred.
• Familiarity with AI, Machine Learning, or LLMs is an added advantage.

The expected salary range for this position is $75- $100 USD per hour, based on experience, skills, and qualifications.