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About Micro1: Job DescriptionRole Title: MicrobiologistRole Type: ContractorLocation: Remotemicro1 is engaging Microbiologists to contribute their scientific expertise to a unique 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.Key Responsibilities:Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.Document experimental findings and processes with a focus on clarity for AI training data.Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.Required Skills and Qualifications:Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.Extensive knowledge of bacterial, fungal, and algal systems.Demonstrated expertise in investigating microbial structure and physiology.Strong written and verbal communication skills for technical and interdisciplinary collaboration.Ability to document processes and findings clearly for integration into AI systems.Comfort working independently in a fully remote, digital-first environment.Attention to detail and commitment to scientific accuracy.Preferred Qualifications:Prior experience developing or applying rubrics in scientific or educational contexts.Experience with AI, machine learning, or annotation projects related to biology or microbiology.Advanced degree (Master’s or PhD) in a relevant field.

About Micro1: Job DescriptionRole Title: BiologistRole Type: ContractorLocation: Remotemicro1 is engaging Biologists to contribute their cellular and molecular biology expertise to an innovative 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. This opportunity places a strong emphasis on both written and verbal communication, as you will help define and assess expert-level scientific content. Professionals with hands-on wet lab and CRISPR experience are especially encouraged to participate.Key Responsibilities:Lead the design, optimization, and execution of CRISPR-based gene editing experiments.Develop and implement cloning strategies to generate novel constructs and cell lines.Perform genotyping, PCR-based assays, and sequence analyses to validate genetic modifications.Design synthetic DNA/RNA sequences and contribute to screening logic for high-throughput workflows.Collaborate with interdisciplinary teams to translate experimental data into structured formats for AI model training.Apply molecular biology techniques to study and characterize molecules, organelles, and cellular organization.Document experimental procedures and results with exceptional clarity and precision, supporting reproducibility and knowledge transfer.Required Skills and Qualifications:Expertise in CRISPR technology and gene editing workflows.Extensive hands-on experience with cloning, genotyping, and PCR-based assays.Strong background in sequence design and molecular screening strategies.Excellent written and verbal communication skills, with keen attention to scientific detail.Ability to research and analyze molecular and organelle functions within cells.Demonstrated commitment to data accuracy, workflow optimization, and experimental rigor.Self-driven and collaborative, with a track record of contributing to high-impact research projects.Bachelor’s degree or higher in Molecular Biology, Cell Biology, or a related field.Preferred Qualifications:Experience with the development or evaluation of rubrics, especially for AI and data annotation workflows.Familiarity with designing datasets or protocols for AI training and human review processes.Previous collaboration with interdisciplinary or remote teams on data-driven biology projects.

About Micro1: Job DescriptionAbout UsAt micro1, we work with human experts across a wide range of fields to build more reliable AI systems. Human expertise is at the center of everything we do, and we believe the best technology creates more opportunities for people to create, perform, and discover.In the first edition of microsessions, we're inviting local musicians to perform live in outdoor areas across San Francisco on August 6–7. We'll sponsor artists to play in some of the city's most iconic public spaces, introduce their music to new audiences, and professionally capture their performances as part of a project exploring the future of music education.We are creating this as something musicians enjoy being part of, and something San Francisco enjoys stumbling upon.What You'll Be DoingWe're looking for 20–40 solo musicians and small groups (1–3 performers) to perform live across San Francisco on Thursday, August 6 and Friday, August 7.Selected musicians will:Perform a 1–2 hour live set during one of three daily time slots:LUNCH - 11:00 AM – 1:00 PMAFTERNOON - 2:00 PM – 4:00 PM HAPPY HOUR - 5:00 PM – 8:00 PMPerform at one of several high-foot-traffic locations across the city, including FiDi, the Marina, Dolores Park, Alamo Square, Pier 39, and Golden Gate Park (locations will be finalized with each musician before the event but musicians must ultimately secure their desired locations and any associated logistics)Wear micro1 event apparel during the performance + feature basic signage explaining microsessions.Be filmed and recorded by a small production crew for approximately 20-60 minutes during their set.About the Recording - What It's For Every performance will be filmed and recorded. We're upfront about this on-site and in this brief because we think a project about honoring musicians should be honest with everyone it touches. Here's exactly what the recording is used for:Marketing: a launch film and social content celebrating the artists and the city.Model Training Research: audio can help AI models better understand music — things like recognizing instruments and genres, learning music theory (keys, chord progressions), and understanding the cultural roots of a style, as well as potentially enhancing artist discoverability. The goal is building tools that help people learn and discover music. Musicians are compensated and every performer participates with full consent and a signed release covering the licensing described here.Who We're Looking ForSolo musicians or groups of 1–3 people.Available for a 1–2 hour set within one of our time slots between August 6–7 (playing on both days is welcome if you're interested).Able to perform at a location you're already permitted or approved to play at (whether by city permit or private-property arrangement) — final locations are subject to our approval but we are not able to coordinate permits at this time.Responsible for your own instruments/equipment; please build any related costs into your quoted rate.Able to share a video, Instagram, or portfolio link showing a past performance.Comfortable being filmed and recorded per the terms above.

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.