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Software / ML Engineer, Part-Time LLM Systems Evaluation - Remote (95 Countries)

OpenTrain AI
5 hours ago
Part-time
Remote
Worldwide
$125 - $125 USD hourly

• $125 per hour

• 100% remote

• Part-time independent contractor

• 20 or more hours a week, you choose when


OpenTrain AI is hiring for this role.


Systems and ML engineers can earn $125 an hour judging how well AI handles LLM inference and GPU performance work.


You will not ship production code here. Instead you will define what correct, fast and well-built systems work looks like, writing problems on serving, kernels and quantization and grading AI answers to them.


## What you will do

• Write problems on LLM inference tuning, GPU kernel design, model serving and performance.

• Draft reference solutions that explain expert reasoning and tradeoffs.

• Grade AI answers for correctness, speed and architecture.

• Write feedback that separates acceptable answers from excellent ones.


## Why this is worth your time

• Earn $125 per hour for expert systems review.

• Work remotely on a flexible schedule.

• See how LLM inference and GPU-performance questions are evaluated.

• Fully remote and flexible, no fixed shifts, no commute


## Who this is for

• A bachelor's degree or higher in computer science, computer or electrical engineering, or a related field.

• Hands-on GPU inference tuning, custom CUDA kernels, model serving, quantization or optimizer design.

• Experience owning systems work at a known technology or AI company.

• Strong technical writing and fluent English.

• Helpful: SGLang or other open-source serving tools, Mamba or Mamba2, IBM Granite models, distributed inference, continuous batching, KV-cache tuning.

• No experience in AI training work needed.


## Pay and details

• $125 per hour, paid hourly as an independent contractor.

• Part-time, flexible schedule; fully remote, 95 countries


## How to apply

1. Apply on OpenTrain with your resume: https://app.opentrain.ai/api/out/cmw6nmplb002108jpf0imsa38?ch=qajobsboard&sub=p_083502063dff

2. Complete the application on the hiring platform.

3. If shortlisted, take a short AI interview.


If this sounds like your field, where does your expertise run deepest?


## About OpenTrain AI

OpenTrain AI hosts this software and ML engineer AI evaluation role and accepts applications through its platform.