Domain Expert (Engineering)

We are seeking experienced Domain Expert (Engineering) 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

• Mechanical Engineering

• Electrical Engineering

• Semiconductor Engineering

• Process Engineering

• Civil Engineering & Architecture

• Manufacturing Engineering

• Robotics & Automation

• Utilities & Power Systems

• Aerospace Engineering

• Telecommunications

Key Responsibilities

• 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• Avoid assumptions, external information, duplicate questions, and content that is outdated or inconsistent with the latest archived version.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.

Qualifications

• 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