Engineering & Built Environment Experts

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