GPU Kernel and ML Systems Researcher (Coding Tasks)
OpenTrain AI, Inc.
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Benefits offered by this job
Job summary
OpenTrain AI, Inc. is seeking a GPU Kernel and ML Systems Researcher to design self-contained coding tasks for GPU kernels and ML systems. You will review AI model outputs against technical standards and provide feedback grounded in research expertise.
The role emphasizes CUDA, Triton, CUTLASS kernels, inference serving, and ML compilers. This remote contract position collaborates with a project lead to ensure tasks are accurate, rigorous, and suitable for research evaluation.
Qualifications
- PhD in Computer Science or closely related field.
- Proven depth in CUDA, Triton, CUTLASS kernels, or ML compilers.
- Experience reviewing ML-system research artifacts and reproducible experiments.
Responsibilities
- Create self-contained technical coding tasks for GPU kernels and ML systems.
- Review AI model outputs against ML research standards.
- Provide technically grounded feedback on model performance and correctness.
- Apply your research perspective to self-contained technical work.
Skills
Education
Tools
Job description
Create self-contained research coding tasks for GPU kernels and ML systems, then review AI model outputs against technical standards. Remote contract work pays $200 per approved task and typically takes about four hours.
$200/label
Compensation
Contract
Engagement
Remote
Location
Posted
Open in 95 countries
United States + more
- Albania
- Algeria
- Antigua and Barbuda
- Armenia
- Australia
- Austria
- Bahamas
- Bahrain
- Belgium
- Benin
- Bhutan
- Bosnia and Herzegovina
- Botswana
- Brunei
- Bulgaria
- Canada
- Costa Rica
- Côte d’Ivoire
- Croatia
- Cyprus
- Czechia
- Denmark
- Ecuador
- El Salvador
- Estonia
- Ethiopia
- Finland
- France
- Gambia
- Germany
- Greece
- Guatemala
- Guyana
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Ireland
- Israel
- Italy
- Jamaica
- Jordan
- Kenya
- Kuwait
- Latvia
- Liechtenstein
- Lithuania
- Luxembourg
- Madagascar
- Malaysia
- Malta
- Mauritius
- Mexico
- Moldova
- Mongolia
- Morocco
- Mozambique
- Namibia
- Netherlands
- New Zealand
- North Macedonia
- Norway
- Oman
- Pakistan
- Panama
- Peru
- Philippines
- Poland
- Portugal
- Qatar
- Romania
- Rwanda
- Saint Lucia
- Senegal
- Serbia
- Singapore
- Slovakia
- Slovenia
- South Africa
- Spain
- Sri Lanka
- Sweden
- Switzerland
- Taiwan
- Tanzania
- Thailand
- Trinidad and Tobago
- Tunisia
- Türkiye
- United Arab Emirates
- United Kingdom
- United States
- Uzbekistan
- Vietnam
You will create self-contained technical coding tasks for research-focused evaluation in ML systems and GPU kernels. You will also review AI model outputs and provide feedback grounded in your research expertise.
Your work may cover CUDA, Triton, CUTLASS kernels, inference serving, and ML compilers. You will work with a project lead to keep tasks accurate, rigorous, and suitable for technical research evaluation.
- Build technical research coding tasks involving ML systems and GPU kernels.
- Review AI model outputs against the standards of ML systems research.
- Provide technically grounded feedback on model performance and technical accuracy.
- Apply your research perspective to self-contained technical work.
This is remote, asynchronous contract work designed to fit around your research.
- Pay: $200 per approved task, typically taking about four hours.
- Work setup: Remote, asynchronous contract work.
- Location: Open to candidates in the listed countries.
- Language: Professional fluency in English.
- Research: Published work in ML systems and GPU kernels, including at venues such as MLSys, OSDI, SOSP, PPoPP, SC, or comparable venues.
- Education: A completed or in-progress PhD in computer science or a related field.
- Technical depth: Demonstrated expertise in CUDA, Triton, CUTLASS kernels, inference serving, or ML compilers.
- Research artifacts: Released research code through GitHub or another research artifact.
- Helpful background: First-author publications, Docker, reproducible research environments, and research engineering that combines published work with shipped code.
AI training work is the human side of building artificial intelligence. People prepare examples, review model responses, and evaluate technical outputs so AI systems can improve, and experienced specialists are needed when the work requires deep subject knowledge. OpenTrain helps people find these projects, build a profile, and apply in minutes.
Job details
Location
100% remote
United States + more
- Albania
- Algeria
- Antigua and Barbuda
- Armenia
- Australia
- Austria
- Bahamas
- Bahrain
- Belgium
- Benin
- Bhutan
- Bosnia and Herzegovina
- Botswana
- Brunei
- Bulgaria
- Canada
- Costa Rica
- Côte d’Ivoire
- Croatia
- Cyprus
- Czechia
- Denmark
- Ecuador
- El Salvador
- Estonia
- Ethiopia
- Finland
- France
- Gambia
- Germany
- Greece
- Guatemala
- Guyana
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Ireland
- Israel
- Italy
- Jamaica
- Jordan
- Kenya
- Kuwait
- Latvia
- Liechtenstein
- Lithuania
- Luxembourg
- Madagascar
- Malaysia
- Malta
- Mauritius
- Mexico
- Moldova
- Mongolia
- Morocco
- Mozambique
- Namibia
- Netherlands
- New Zealand
- North Macedonia
- Norway
- Oman
- Pakistan
- Panama
- Peru
- Philippines
- Poland
- Portugal
- Qatar
- Romania
- Rwanda
- Saint Lucia
- Senegal
- Serbia
- Singapore
- Slovakia
- Slovenia
- South Africa
- Spain
- Sri Lanka
- Sweden
- Switzerland
- Taiwan
- Tanzania
- Thailand
- Trinidad and Tobago
- Tunisia
- Türkiye
- United Arab Emirates
- United Kingdom
- United States
- Uzbekistan
- Vietnam
Pay
Languages
Engagement
Contract
Coding & Software
Data type
Computer Code Programming
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