Machine Learning Systems Engineer – AI Trainer

Job overview

The Machine Learning Systems Engineer – AI Trainer role is remote, with the posting specifying remote work and a 40-hour-per-week commitment. Compensation is $90–$120 per hour. Mercor connects technical and creative talent with AI research labs. The role develops and evaluates technical tasks and guidance in machine learning systems, GPU performance, and inference serving. It contributes to research and engineering teams’ ability to assess and improve model performance through accurate solutions, technical feedback, and consistent training data.

What you'll do

• Design tasks involving GPU kernels, performance profiling, debugging, and inference serving
• write structured solutions
• guide research and engineering teams on machine learning systems and training infrastructure
• evaluate MLOps and machine learning systems tasks
• provide written technical feedback
• develop detailed rubrics
• collaborate with subject matter experts on training data consistency and accuracy.

What we're looking for

Skills & competencies

machine learning systems engineer

ai trainer

mlops

gpu kernels

performance profiling

inference serving

machine learning systems

remote

mercor

40 hours/week

$90–$120/hour

Work arrangement

• Weekend coverage required

Why this role

The posting describes W-2 employment with Cincinnatus LLC and requires hands-on experience in machine learning systems, infrastructure, or GPU performance engineering.

About the employer

Mercor is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.