MLOps Engineer, LLM Performance (Kernels, Profiling, Serving)

Machine Learning Researcher (MSc. or PhD)

• Data & Machine Learning
• Platform: micro1
• Location: 58 countries

This contract role asks machine learning specialists to build and check demanding engineering tasks for an AI training project. The work spans model implementation, training and inference pipelines, numerical methods and performance tuning, mostly in Python. It suits candidates with an advanced degree and hands-on machine learning experience who work fluently with coding agents.

Posted October 23, 2026

ML Engineer (MSc. or PhD)

• Data & Machine Learning
• Platform: micro1
• Location: 58 countries

This contract role asks machine learning engineers to create, solve, review and validate demanding engineering tasks for an AI training project. The work centers on model development, training and inference pipelines, numerical methods and Python tooling, and is largely hands-on coding. It suits candidates with an advanced degree and experience using coding agents in their Python workflow.

Posted October 16, 2026

GPU Kernel Expert

• Software Engineering
• Platform: Mercor
• Location: United States
• Level: Intermediate

This job involves evaluating the quality and correctness of GPU kernel and accelerator code developed to train and test AI models. You will provide structured feedback on numerical correctness, the validity of performance benchmarks, task definition, and viability for compilation and execution.

Posted August 25, 2026

Data Science Expert - AI Content Specialist

• Data & Machine Learning
• Platform: Alignerr

This role involves designing advanced data science challenges, writing benchmark solutions, and auditing AI-generated code to improve AI reasoning and reliability. It is designed for experienced data scientists who want flexible, intellectually demanding work training and evaluating machine learning systems.

Machine Learning Engineer

• Data & Machine Learning
• Platform: DataAnnotation

As a Machine Learning Engineer, you will evaluate and improve how AI models reason about machine learning systems, including training dynamics, evaluation design, and deployment strategies. You will write prompts to test model reasoning, identify subtle errors in AI outputs, and provide correct solutions based on real practitioner experience.

ML Challenge Task Auditor

• Data & Machine Learning
• Platform: Mercor
• Location: United States
• Level: Intermediate

You will evaluate the methodological quality and scientific rigor of machine learning tasks designed to train and test models at a cutting-edge AI laboratory. You will provide structured feedback on experimental design, model selection and evaluation protocols, critiquing claims against observed results.

Posted August 28, 2026