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About Micro1: Job DescriptionRole Title: Aerodynamics ExpertRole Type: ContractorLocation: Remotemicro1 is engaging Aerodynamics Experts to contribute specialized insights and deliverables to a critical customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkAnalyze and interpret complex aerodynamic challenges, offering detailed technical feedback and nuanced explanations relevant to aerospace and mechanical engineering contexts.Develop, review, and distill advanced technical documentation related to aerodynamics, computational fluid dynamics (CFD), and thermofluids, ensuring clarity and precision for diverse audiences.Contribute to the refinement of educational and technical materials to enhance the learning and reasoning capabilities of AI models.Participate in rigorous peer review processes, providing critical analysis, constructive feedback, and quality assurance on technical content and workflows.Collaborate remotely with other subject matter experts, aligning on technical standards, workflow optimization, and best practices in knowledge distillation.Engage in discussions and presentations that translate complex experimental and theoretical results into actionable knowledge and training data for AI development.Preferred QualificationsPhD in aerospace or mechanical engineering with a specialization in thermofluids or aerodynamics, or BS in AE/ME plus at least 8 years in aerospecific roles.Deep expertise in aerodynamics, CFD, and related computational and experimental methods within the aerospace or mechanical engineering sectors.Proven track record of technical writing for technical reports, articles, or documentation, with strong skills in distilling complex concepts.Exceptional verbal communication abilities, including articulating nuanced technical concepts to interdisciplinary audiences.Demonstrated success in peer review, technical evaluation, or consultancy roles involving critical analysis and workflow optimization.Experience collaborating effectively in remote or distributed expert networks.Interest in contributing to the development and training of advanced AI systems by leveraging engineering domain knowledge.Compensation StructureCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionRole Title: Materials Scientist / EngineerRole Type: ContractorLocation: Remotemicro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkAnalyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering.Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields.Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training.Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones.Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices.Preferred QualificationsMS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization.Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing).Strong analytical skills and experience interpreting complex scientific data.Substantial experience conducting technical literature reviews and summarizing key findings.Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.Experience with quality assurance and review of scientific documents or datasets.Familiarity with remote collaboration tools and digital knowledge-sharing environments.Compensation StructureCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionRole Title: GitHub ContributorRole Type: Contractor (~15 hrs a week)Location: Remotemicro1 is engaging expert Senior Software Engineers to support a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.As an expert you will be creating Reinforcement Learning Environments which test and AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.Applicants must have clear open source contributions and profiles to showcase it like GitHub or GitLab. (Preferably with C++, Python, JAVA, GoLang, Typescript, or Rust)Scope of WorkContribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.Implement robust new features, ensuring scalability, maintainability, and adherence to software best practices.Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.Review and validate peer-contributed code and technical submissions for accuracy and clarity.Preferred QualificationsSignificant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.Deep understanding of algorithms, data structures, and software engineering principles.Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.Experience with large codebase refactoring and legacy system modernization.Track record of delivering high-impact features from conception through delivery within cross-functional projects.Strong documentation and communication skills to articulate technical concepts clearly.Interest in or curiosity about AI and its technical challenges (previous AI experience not required).Process:Apply to the role, filling out the screening questionsComplete AI interview (aprox. 30 minutes)Technical Assessment (Tentative)Hiring Manager reviewCompensation StructureCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionRole Title: GPU Programmer Software EngineerRole Type: ContractorLocation: RemoteIn this role, you will apply your expertise as a GPU programmer to design GPU related tasks to train LLMs, focusing on performance and architecture.Scope of WorkDesign, implement, and optimize GPU-based software solutions using CUDA, WebGPU or GLSL.Profile and fine-tune GPU kernels and shaders for maximum performance and efficiency.Develop host-side logic and integrations in C++Preferred QualificationsAdvanced experience with any GPU programming language that can run on NVIDIA chips.Background in either Graphics Programming, ML acceleration, Scientific Computing, High Performance Computing, or any other domain using GPU technologies.Proficiency in C++Compensation StructureCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

About Micro1: Job DescriptionRole Title: Chemistry SpecialistRole Type: ContractorLocation: Remotemicro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkConduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.Critically evaluate experimental outcomes to propose improvements or new investigative approaches.Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.Preferred QualificationsAdvanced degree (PhD preferred) in Chemistry or closely related field.Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.Strong written and verbal communication skills, with the ability to convey technical concepts clearly.Experience contributing to interdisciplinary projects or cross-functional collaborations.Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.