Negotiable
Undetermined
Remote
United Kingdom
Summary: The Manufacturing Operations Manager role focuses on supporting AI-related projects in engineering, manufacturing, and operations workflows. The position involves designing prompts for large language models (LLMs), evaluating AI outputs, and contributing domain expertise to enhance AI system performance. This is a flexible, project-based engagement that allows for remote work. Candidates should have a strong background in manufacturing operations or engineering disciplines.
Key Responsibilities:
- Support AI-related work focused on engineering, manufacturing, and operations workflows
- Design rubric-style LLM prompts and evaluate AI-generated outputs
- Create and review structured evaluation tasks related to industrial and operational scenarios
- Assess model reasoning, accuracy, and practical applicability in engineering contexts
- Contribute domain expertise to improve AI system performance and reliability
Key Skills:
- Experience as a manufacturing operations leader, petroleum engineer, industrial engineer, or controls engineer
- Prior experience working on Mercor rubric-style tasks preferred
- Strong understanding of engineering and operational processes
- Ability to design effective prompts and critically evaluate LLM responses
- Excellent analytical thinking and written communication skills
- Comfortable working independently in a remote environment
Salary (Rate): £150.00 hourly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: Engineering / Manufacturing / Operations (Meridian)
Type: Hourly contract
Compensation: $80-$150/hour
Location: Remote
Commitment: Flexible project-based engagement
Role Responsibilities
- Support AI-related work focused on engineering, manufacturing, and operations workflows
- Design rubric-style LLM prompts and evaluate AI-generated outputs
- Create and review structured evaluation tasks related to industrial and operational scenarios
- Assess model reasoning, accuracy, and practical applicability in engineering contexts
- Contribute domain expertise to improve AI system performance and reliability
Requirements
- Experience as a manufacturing operations leader, petroleum engineer, industrial engineer, or controls engineer
- Prior experience working on Mercor rubric-style tasks preferred
- Strong understanding of engineering and operational processes
- Ability to design effective prompts and critically evaluate LLM responses
- Excellent analytical thinking and written communication skills
- Comfortable working independently in a remote environment
Application Process (Takes 20 Mins)
- Upload your resume.
- Complete an interview.
- Submit a short form.