Mechanical Engineer – AI Infrastructure Trainer

Job overview

Mechanical Engineer – AI Infrastructure Trainer is described as a remote role, with hybrid remote listed in the feed. The posting states compensation of $1,500 per task, a four-to-five-week duration, and a commitment of 20–30+ hours per week; it also says hourly payment applies for the remainder of the project after the first task is completed. Mercor connects technical talent with leading AI research labs. The engineer creates mechanical-engineering tasks and deliverables and diagnoses real-world issues to advance AI research and infrastructure. The role contributes domain expertise to machine-learning systems through independent, deadline-focused project work.

What you'll do

• Create tasks and deliverables for common mechanical-engineering requests
• diagnose and solve real-world issues to advance AI research and infrastructure
• contribute mechanical-engineering expertise to machine-learning systems
• work independently with flexible hours to meet deadlines. The posting requires at least 20 hours per week, with flexibility to scale to 30+ hours.

What we're looking for

Skills & competencies

mechanical engineer

ai infrastructure trainer

remote

mechanical engineering

ai research

machine learning systems

task-based payment

$1,500 per task

4–5 weeks

20–30+ hours/week

mercor

contract

Work arrangement

• Weekend coverage required

Why this role

Four-to-five-week contract project with task-based payment for the first approved task and hourly payment for the remainder; immediate start is stated.

About the employer

Mercor is hiring for this role. Industry: Engineering Services. Sector: 54.