Machine Learning Researcher and Task Reviewer

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Remote contract

Job summary

OpenTrain AI, Inc. is seeking a Machine Learning Researcher and Task Reviewer for a fully remote, part-time contractor position. You will create, solve, review, and validate ML tasks involving Python, models, numerical computing, and system performance, ensuring accuracy and efficiency.

The role focuses on developing training and inference pipelines, optimizing performance, and building reproducible workflows. English fluency and an advanced degree are required.

Qualifications

• Education: Master’s degree or PhD in computer science, machine learning, AI, applied mathematics, statistics, engineering, or closely related quantitative discipline.
• Experience: Mid-Senior level with strong ML and Python coding proficiency.
• Experience: Coding-intensive ML, systems, and numerical computing tasks.

Responsibilities

• Create, solve, review, and validate ML engineering tasks against defined correctness and performance requirements.
• Build reproducible workflows and investigate numerical or system-level failures.
• Improve memory usage or throughput and ensure implementations meet objective requirements.
• Review coding-intensive ML, systems, and numerical-computing solutions.

Skills

Python

Machine learning

Coding experience

English fluency

Education

Master's degree or PhD in CS/ML or related field

Tools

PyTorch

JAX

NumPy

SciPy

SGLang

vLLM

llama.cpp

tokenizers

transformers

Job description

Machine Learning Researcher and Task Reviewer

Review and validate machine learning engineering tasks involving Python, models, numerical computing, and system performance. This remote contractor role offers $60 to $120 per hour equivalent, paid per task that meets the project specifications, with about 15 flexible hours per week.

$60–$120/hr

equivalent, paid per accepted task

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 23, 2026

Posted

Open in 52 countries

Portugal + more

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will create, solve, review, and validate machine learning engineering tasks against defined correctness and performance requirements. The work covers model development, training and inference systems, numerical computing, performance optimization, and Python.

You will also build reproducible workflows, investigate numerical or system-level failures, improve memory use or throughput, and check that implementations meet objective requirements.

• Develop and validate models, training pipelines, inference systems, and evaluation systems.
• Implement model components, data pipelines, numerical methods, and supporting infrastructure.
• Use Python and command-line tools to create reproducible workflows.
• Review coding-intensive machine learning, systems, and numerical-computing solutions.

What it pays and takes

• Pay: $60 to $120 per hour equivalent, paid per task that meets the project specifications.
• Schedule: Approximately 15 hours per week with flexible scheduling.
• Work arrangement: Fully remote contractor opportunity.
• Location: Open to candidates in the listed countries across the Americas, Europe, Asia, Africa, and the Middle East.
• Language: Professional fluency in English.
• Education: A master's degree or PhD in computer science, machine learning, artificial intelligence, applied mathematics, statistics, engineering, or a closely related quantitative discipline is required.
• Experience: Strong professional or research experience in machine learning and practical proficiency with Python and coding agents.
• You should be able to handle coding-intensive model, systems, and numerical-computing problems.
• Helpful tools include PyTorch, JAX, NumPy, SciPy, SGLang, vLLM, llama.cpp, tokenizers, and transformers.
• Experience in a technology company, AI laboratory, research organization, or recognized engineering environment is preferred. Exceptional open-source or academic experience may also qualify.

About AI training work

AI training work uses human judgment to prepare and evaluate the examples, code, and model outputs that help artificial intelligence systems improve. Specialized contributors are paid for applying technical expertise to difficult tasks such as model evaluation, software testing, numerical analysis, and performance review.

Requirements

• Experience: Mid-Senior level