Engineering; PhD

Responsibilities

• Write and refine prompts to guide model behavior in engineering scenarios
• Evaluate LLM-generated responses to engineering-related queries for technical accuracy, applied reasoning, and completeness
• Conduct fact-checking and verify any technical claims using authoritative public sources and domain knowledge
• Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies
• Assess clarity, structure, and appropriateness of explanations for different audiences
• Ensure model responses align with expected conversational behavior and system guidelines
• Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines

• PhD in Engineering or a closely related field
• Deep expertise in one or more of the following sub-domains
  :
• Mechanical & Physical Systems Engineering
• Electrical, Electronic & Computer Engineering
• Chemical, Materials & Process Engineering
• Civil, Environmental & Infrastructure Engineering
• Significant experience using large language models (LLMs) and understand how and why people use them
• Excellent writing skills and can clearly explain complex engineering concepts
• Strong attention to detail and consistently notice subtle issues others may overlook
• Experience reviewing or editing technical or academic writing

• Experience with applied research, industry engineering workflows, or systems design
• Prior experience with RLHF, model evaluation, or data annotation work
• Experience teaching, mentoring, or explaining engineering concepts to non-expert audiences
• Familiarity with evaluation rubrics, benchmarks, or structured review frameworks