Remote CS Research Expert - Benchmark & ML Systems

24-Mag Llc; New York (NY); Remote; USD 76,000 - 103,000; Part time

Benefits offered by this job

Remote work

Flexible schedule

Competitive hourly rate

Job summary

24-MAG LLC is seeking a part-time independent contractor with deep expertise in computer science to author and verify advanced AI benchmarking questions. The role is fully remote and entails developing rigorous problems across CS topics, from algorithms and ML to systems engineering and formal methods.

You will join an AI research initiative focused on high-quality evaluation materials, provide well-supported solutions, and help set evaluation standards.

Qualifications

• PhD (or current) in CS, EE, CE, or related field.
• Strong command of graduate CS theory, algorithms, systems design, and ML.
• Excellent written English and ability to communicate complex concepts clearly.
• Substantial software engineering or technical industry experience is valued.
• Background in GPU kernel engineering, architectures, or formal methods is preferred.

Responsibilities

• Author original multiple-choice questions testing deep technical understanding.
• Verify questions for correctness, rigor, and solvability.
• Develop content on GPU kernels, accelerators, and computer architecture.
• Create rigorous problems in formal verification and automated reasoning.
• Develop questions on distributed systems, cloud infra, OS, and databases.
• Ensure solutions include clear reasoning and references.

Skills

PhD in CS

Graduate CS theory

Strong written English

GPU Kernel Engineering

Distributed Systems

Formal Methods

Data Engineering

Machine Learning

Cloud Infrastructure

Web/API Development

Operating Systems

Education

PhD in Computer Science

Job description

24-MAG LLC is seeking a part-time independent contractor with deep expertise in computer science to author and verify advanced AI benchmarking questions. The role is fully remote and entails developing rigorous problems across CS topics, from algorithms and ML to systems engineering and formal methods.

You will join an AI research initiative focused on high-quality evaluation materials, provide well-supported solutions, and help set evaluation standards.