Open Source Contributor

Summary

Pay: $60–$120/hour equivalent, paid per accepted taskLocation: Global, fully remoteJob Type: ContractorTime Commitment: 15+ hours per weekSchedule: Flexiblemicro1 is looking for exceptional open-source contributors to support an AI-training project focused on complex, real-world technical workflows.In this role, you will use your programming and domain expertise to create, solve, review, and validate challenging tasks in software engineering, machine learning, science, hardware, or engineering. Your work will help improve how advanced AI systems reason, write code, use technical tools, and complete long-horizon projects.Prior AI-training experience is not required. We are primarily looking for candidates with strong, publicly verifiable technical work.What You'll Work OnCreate realistic technical tasks based on professional, scientific, or engineering workflows.Build reproducible task environments, reference solutions, tests, and objective evaluation criteria.Review AI-generated work for correctness, completeness, and technical quality.Diagnose model failures and explain why an approach or result is incorrect.Required QualificationsStrong programming ability, including practical proficiency with Python.Meaningful contributions to open-source software or substantial original public projects.Experience in at least one relevant area, including:Software engineeringMachine learning or data scienceScientific computingHardware, embedded systems, or electronicsMechanical, aerospace, civil, chemical, or electrical engineeringDeveloper tools, infrastructure, automation, or securityPublic Proof of SkillApplicants should be able to provide publicly verifiable evidence such as:Meaningful merged contributions to established repositoriesMaintainer or core-contributor responsibilitiesSubstantial original repositories or technical toolsScientific or engineering software contributionsPublic code supporting published researchContributions involving implementation, debugging, testing, performance, infrastructure, simulation, or data processingForks, tutorial-only repositories, superficial documentation edits, contribution counts, or AI-generated repositories alone are not sufficient.Preferred QualificationsExperience designing technical tests, benchmarks, evaluation tasks, or reproducible environments.Experience reviewing code or technical contributions from others.Competition results, publications, public technical writing, or other evidence of expertise.Previous experience contributing to complex projects over an extended period.CompensationCompensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. The time required for each task will vary based on its complexity and the expert's workflow.#J-18808-Ljbffr

Job Description

Pay: $60–$120/hour equivalent, paid per accepted taskLocation: Global, fully remoteJob Type: ContractorTime Commitment: 15+ hours per weekSchedule: Flexiblemicro1 is looking for exceptional open-source contributors to support an AI-training project focused on complex, real-world technical workflows.In this role, you will use your programming and domain expertise to create, solve, review, and validate challenging tasks in software engineering, machine learning, science, hardware, or engineering. Your work will help improve how advanced AI systems reason, write code, use technical tools, and complete long-horizon projects.Prior AI-training experience is not required. We are primarily looking for candidates with strong, publicly verifiable technical work.What You'll Work OnCreate realistic technical tasks based on professional, scientific, or engineering workflows.Build reproducible task environments, reference solutions, tests, and objective evaluation criteria.Review AI-generated work for correctness, completeness, and technical quality.Diagnose model failures and explain why an approach or result is incorrect.Required QualificationsStrong programming ability, including practical proficiency with Python.Meaningful contributions to open-source software or substantial original public projects.Experience in at least one relevant area, including:Software engineeringMachine learning or data scienceScientific computingHardware, embedded systems, or electronicsMechanical, aerospace, civil, chemical, or electrical engineeringDeveloper tools, infrastructure, automation, or securityPublic Proof of SkillApplicants should be able to provide publicly verifiable evidence such as:Meaningful merged contributions to established repositoriesMaintainer or core-contributor responsibilitiesSubstantial original repositories or technical toolsScientific or engineering software contributionsPublic code supporting published researchContributions involving implementation, debugging, testing, performance, infrastructure, simulation, or data processingForks, tutorial-only repositories, superficial documentation edits, contribution counts, or AI-generated repositories alone are not sufficient.Preferred QualificationsExperience designing technical tests, benchmarks, evaluation tasks, or reproducible environments.Experience reviewing code or technical contributions from others.Competition results, publications, public technical writing, or other evidence of expertise.Previous experience contributing to complex projects over an extended period.CompensationCompensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. The time required for each task will vary based on its complexity and the expert's workflow.#J-18808-Ljbffr