MLOps Engineer for AI Training

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. We help professionals discover specialized projects, build a strong portfolio, and grow their careers in a rapidly advancing industry.

About AI Training Work

AI training is the human side of building modern artificial intelligence. Experts design examples, evaluate model behavior, write technical feedback, and create clear standards that help AI systems become more capable and reliable.

This remote contract puts your MLOps and ML systems expertise directly into that process. Your technical judgment will help shape the tasks, solutions, and evaluation criteria used to improve frontier AI systems.

The MLOps Engineer Role

OpenTrain AI is seeking an expert MLOps Engineer to design, review, and refine training tasks and solutions for frontier AI systems. The work focuses on ML infrastructure, training pipelines, distributed systems reasoning, and kernel-level optimization.

You will work with JAX, PyTorch, and GPU kernel programming using Pallas or Triton. You will also provide detailed technical feedback and help develop rubrics that improve the quality and consistency of AI training data.

• Remote contract position available to candidates in the United States
• Pay range: $70–$110 per hour
• Contractor and part-time engagement
• English-language work
• Listed time requirement: 20+ hours per week
• The role description requires the ability to work 40 hours per week during weekdays

What You'll Do

You will combine hands-on ML systems knowledge with precise technical writing and evaluation. The goal is to create challenging, accurate, and consistently judged material for AI model training.

• Design challenging MLOps and ML systems tasks
• Write accurate, well-structured solutions
• Evaluate tasks and solutions with written technical feedback
• Develop rubrics for training pipeline design and distributed systems reasoning
• Collaborate with subject matter experts to keep training data consistent and accurate

Required Qualifications

This is an expert-level opportunity for an engineer with professional experience building or operating ML infrastructure and systems in production. You should be able to explain complex technical decisions clearly and assess both implementation quality and systems reasoning.

• At least 2 years of professional experience in ML infrastructure, MLOps, or ML systems engineering
• Hands-on production experience with JAX and/or PyTorch at scale
• Experience writing or optimizing custom GPU kernels with Pallas or Triton
• Strong written communication and clear technical explanation skills
• Ability to write clear technical feedback and explain complex decisions
• Ability to work 40 hours per week during weekdays

Why Work With OpenTrain

Specialized AI training work gives experienced technical professionals a direct role in shaping how advanced AI systems behave. OpenTrain helps you build a durable portfolio of high-quality project work, track your contributions, grow your reputation, and access more specialized opportunities over time.

• Work remotely on cutting-edge AI training projects
• Apply your existing MLOps and ML systems expertise to model development
• Build a portfolio that reflects specialized technical contributions
• Create an OpenTrain account for free and apply in minutes