Scientific computing
Hardware, embedded systems, or electronics
Mechanical, aerospace, civil, chemical, or electrical engineering
Developer tools, infrastructure, automation, or security
PUBLIC PROOF OF SKILL
Applicants must provide publicly verifiable evidence of their technical expertise, such as:
Meaningful merged contributions to established repositories.
Maintainer or core-contributor responsibilities.
Substantial original repositories or technical tools.
Scientific or engineering software contributions.
Public code supporting published research.
Contributions involving implementation, debugging, testing, performance, infrastructure, simulation, or data processing.
Forks, tutorial-only repositories, superficial documentation edits, contribution counts, and AI-generated repositories alone are insufficient.
PREFERRED QUALIFICATIONS
Experience designing technical tests, benchmarks, evaluation tasks, or reproducible environments.
Experience reviewing code or technical contributions.
Competition results, publications, or public technical writing.
Experience contributing to complex projects over an extended period.
CORE TECHNICAL SKILLS
Python 3, Java, Rust, C++ fundamentals, TypeScript, and Go.
APPLICATION PROCESS
Submit your application and public technical profiles.
Complete an AI interview covering technical and integrity checks.
Undergo a hiring-manager review.
Complete project onboarding if selected.
COMPENSATION AND WORK ARRANGEMENT
Compensation is output-based, with an estimated equivalent of $60–$120 per hour. Payment is made for tasks that meet project specifications and quality requirements. Actual earnings depend on task complexity, time required, and accepted deliverables.
This is a global, fully remote contractor opportunity with a flexible schedule and a minimum commitment of 15 hours per week.
