Engineering (PhD) [$73.29/hr]
Role 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
Good Candidature
* 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
Nice-to-Have Specialties
* 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