AI Infrastructure Specialist - Fully Remote | Upto $130/hr

Role Overview

Mercor is hiring an AI Infrastructure Specialist / MLOps Engineer for a fully remote contract position. You will help guide AI research and engineering teams by closing knowledge gaps and improving model performance across MLOps, training infrastructure, and ML framework-level topics.

Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level areas
• Design challenging, domain-relevant tasks across multiple AI specializations
• Produce accurate, well-structured solutions for MLOps and ML systems problems
• Evaluate MLOps tasks and solutions
• Provide clear written technical feedback
• Create guidelines, rubrics, and evaluation frameworks for assessing:
  • Training pipeline design
  • Distributed systems reasoning
  • Kernel-level optimization
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data

Requirements (Must-Have)

• 5+ years of professional experience in ML infrastructure, MLOps, or ML systems engineering at a top-tier organization
• Production, hands-on experience with JAX and/or PyTorch at scale, including:
  • Distributed training strategies (e.g., FSDP, tensor parallelism, pipeline parallelism)
  • Memory optimization
  • Framework-level debugging
• Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton, including:
  • Tiling strategies
  • Memory layout design
  • Kernel fusion
• Demonstrable career progression
• Ability to reliably work 30+ hours/week on weekdays
• Strong written communication skills and ability to explain complex technical decisions

Contract & Compensation

• Contract (W-2) employment via Cincinnatus LLC
• Compensation: $90–$130 per hour (listed as “upto $130/hr”)
• Location: Remote (United States)