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Overview

Company
Mercor Alabaster
Location
all cities, MO 25
Employment type
On-site
  • National Medical Director, Episodic Care (25)
  • Physician-CW - Medical Director-CW (25)
  • P & C Designer (Protection and Controls) (25)
  • Founding Marketeer, Europe (25)
  • Construction Engineer I (Temp-to-Hire) (25)
  • Remote Data Scientist/AI Engineer - INTL (28)
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M
Mercor AlabasterVerified Employer

Business Services & Consulting • all cities, MO 25

Engineering & Built Environment Experts (25)

all cities, MO 25On-sitePosted 7 hours ago
Business Services & Consulting

About the Role

We are building a benchmark dataset to evaluate AI models on professional document understanding and instruction following within the Engineering & Built Environment domain.Tasks consist of complex, multi-step requests grounded in real-world workspace files (technical drawings, project specifications, engineering reports), web search, and code execution - each paired with a clearly defined ground truth output and an objective evaluation rubric.You will be responsible for authoring tasks that test an AI's ability to interpret engineering documentation, follow multi-step instructions, and produce precise, well-structured outputs.

We expect a minimum commitment of 15-20 hours per week.Ideal candidates have 3+ years of hands-on experience in one or more of the following sub-domains: - Mechanical engineering - Civil engineering - Industrial engineering - Architecture

We are building a benchmark dataset to evaluate AI models on professional document understanding and instruction following within the Engineering & Built Environment domain.Tasks consist of complex, multi-step requests grounded in real-world workspace files (technical drawings, project specifications, engineering reports), web search, and code execution - each paired with a clearly defined ground truth output and an objective evaluation rubric.You will be responsible for authoring tasks that test an AI's ability to interpret engineering documentation, follow multi-step instructions, and produce precise, well-structured outputs.

We expect a minimum commitment of 15-20 hours per week.Ideal candidates have 3+ years of hands-on experience in one or more of the following sub-domains: - Mechanical engineering - Civil engineering - Industrial engineering - Architecture

What You'll Do

We are building a benchmark dataset to evaluate AI models on professional document understanding and instruction following within the Engineering & Built Environment domain.
Tasks consist of complex, multi-step requests grounded in real-world workspace files (technical drawings, project specifications, engineering reports), web search, and code execution - each paired with a clearly defined ground truth output and an objective evaluation rubric.
You will be responsible for authoring tasks that test an AI's ability to interpret engineering documentation, follow multi-step instructions, and produce precise, well-structured outputs.
We expect a minimum commitment of 15-20 hours per week.

Skills & Technologies

Business Services & Consulting

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Mercor Alabaster
Business Services & Consulting
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