Machine Learning Researcher (MSc. or PhD)

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

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

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

This job is an MLOps role on a generative AI team, focused on the performance side of large language model work. The engineer designs and reviews hard tasks on accelerator kernels, profiling, distributed debugging and inference serving, and writes clear technical feedback on solutions produced by others. It suits hands-on systems engineers with production experience in ML infrastructure, model serving or accelerator performance.

Posted October 22, 2026

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

Post-Training Research Scientist (LLMs) - Experimental Track

• Data & Machine Learning
• Platform: Vetto

This role is a hands-on research position focused on post-training large language models, where expert annotations are converted into training data and experimental reward signals. It suits a researcher with a PhD or equivalent experience in machine learning or a related quantitative field who can work independently and iterate fast on messy experiments.

Posted January 23, 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.