Negotiable
Undetermined
Remote
United Kingdom
Summary: The Engineering Expert (PhD) role involves guiding AI model behavior in engineering contexts through prompt writing and evaluation of model responses. The position requires a commitment of 10–40 hours per week and emphasizes technical accuracy and clarity in communication. Candidates must possess a PhD in Engineering or a related field and demonstrate expertise in a specific engineering domain. The role is fully remote, allowing for independent work in an evaluation-focused environment.
Key Responsibilities:
- Write and refine prompts to guide AI model behavior in engineering scenarios.
- Evaluate LLM-generated responses for technical accuracy, applied reasoning, and completeness.
- Fact-check and verify technical claims using domain knowledge and authoritative sources.
- Annotate model outputs by identifying strengths, inaccuracies, and improvement areas.
- Assess clarity, structure, and suitability of explanations for different audiences.
- Ensure responses align with conversational standards and evaluation guidelines.
- Apply consistent review frameworks, benchmarks, and taxonomies across tasks.
Key Skills:
- PhD in Engineering or a closely related field.
- Deep expertise in at least one engineering domain (mechanical, electrical, chemical, materials, civil, environmental, or related disciplines).
- Strong understanding of applied engineering reasoning and quantitative analysis.
- Experience using large language models and understanding of AI interaction patterns.
- Excellent writing and technical communication skills.
- High attention to detail and analytical rigor.
- Comfortable working independently in a remote, evaluation-focused environment.
Salary (Rate): £73.29 hourly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: Engineering Expert (PhD)
Type: Hourly contract
Compensation: $73.29/hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
- Write and refine prompts to guide AI model behavior in engineering scenarios.
- Evaluate LLM-generated responses for technical accuracy, applied reasoning, and completeness.
- Fact-check and verify technical claims using domain knowledge and authoritative sources.
- Annotate model outputs by identifying strengths, inaccuracies, and improvement areas.
- Assess clarity, structure, and suitability of explanations for different audiences.
- Ensure responses align with conversational standards and evaluation guidelines.
- Apply consistent review frameworks, benchmarks, and taxonomies across tasks.
Requirements
- PhD in Engineering or a closely related field.
- Deep expertise in at least one engineering domain (mechanical, electrical, chemical, materials, civil, environmental, or related disciplines).
- Strong understanding of applied engineering reasoning and quantitative analysis.
- Experience using large language models and understanding of AI interaction patterns.
- Excellent writing and technical communication skills.
- High attention to detail and analytical rigor.
- Comfortable working independently in a remote, evaluation-focused environment.
Application Process (Takes 20 Min)
- Upload resume
- Interview (15 min)
- Submit form