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About Micro1: Job DescriptionRole Title: Research Scientist - Computer Science & Computational PhysicsRole Type: Contractor (flexible, Part-Time or Full-Time)Location: Remotemicro1 is engaging Research Scientists in Computer Science & Computational Physics to help advance a customer’s high-impact research 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 WorkIdentify and propose open problems, new bounds, or tractable research challenges in your subfield for rigorous investigation.Conduct structured research using frontier AI models and agents to attempt proofs, develop algorithms, or run computational simulations.Systematically verify research outputs by checking proofs, reproducing numerical results, or employing formal tools.Assess findings for novelty and correctness in direct comparison with recent literature and published results.Document methodologies, partial results, and encountered challenges through clear and thorough written reports.Highlight promising new directions and discoveries for deeper exploration by senior research professionals.Preferred QualificationsAdvanced standing in research: late-stage PhD candidate, postdoctoral researcher, or early-career academic (0–5 years post-PhD) in computer science or mathematical/computational physics.Recognized by peer community for research excellence, such as best paper or dissertation awards at leading venues (e.g., STOC, FOCS, SODA, PLDI, SC).Strong publication track record within the past three years, including multiple top-venue papers and recent results addressing named open problems or introducing novel concepts.Hands-on expertise in computational methods, encompassing simulation, numerical analysis, and algorithmic implementation.Experience reviewing or sub-reviewing for prominent conferences in your specialty is a plus.Background in leveraging frontier models, agents, or formal computational tools (e.g., Lean, SAT/SMT solvers) in scholarly work.Publicly shared research statement or homepage outlining specific open problems currently under investigation.

About Micro1: Job DescriptionRole Title: Licensed DietitianRole Type: Contractor, RemoteLocation: United States/Canadamicro1 is engaging Licensed Dietitians to contribute their specialized knowledge to a customer’s project focused on nutrition and dietary wellness. 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 is an opportunity for professionals who are passionate about clinical nutrition, client communication, and evidence-based counseling to play a pivotal role in advancing technology while sharing valuable expertise.Scope of WorkProvide detailed and accurate nutrition counseling insights to support AI model development.Conduct comprehensive dietary assessments and review case-based scenarios for accuracy and relevance.Create, evaluate, and refine meal planning templates and recommendations aligned with clinical guidelines.Deliver clear, concise written feedback and explanations on diverse nutrition topics and client interactions.Assess and validate nutritional content for consistency with the latest scientific research and best practices.Collaborate asynchronously with project coordinators through written and verbal communication channels.Contribute to the continuous improvement of project protocols and data quality standards.Preferred QualificationsActive and unrestricted Registered Dietitian (RD/RDN) license.Demonstrated expertise in nutrition counseling, clinical nutrition, and dietary assessment.Experience creating individualized meal plans for diverse populations and health needs.Exceptional written and verbal communication skills; ability to convey complex concepts clearly.Strong attention to detail and commitment to evidence-based practice.Capacity to work independently and meet project deliverables remotely.Familiarity with digital tools and telehealth platforms is a plus.

About Micro1: Role Title: Software Engineer (GitHub Contributor)Role Type: ContractorLocation: Anywhere in the world, remoteOpportunity SnapshotPay: $50–100/hourTime per task: ~15 hours per runOnboarding: As soon as you’re selected, Talent Ops will send you everything you need to get startedYou’ll need: clear open source contributions and a profile to showcase them, such as GitHub (preferably with C++, Python, Java, Go, TypeScript, or Rust). If you don’t, you’ll be assessed through a HackerRank assessment instead.Your tasks: Build reproducible Reinforcement Learning Environments that test an AI model’s ability to fix code, add features, refactor, and optimize performance - including a golden reference solution for each problemBonus: experts who complete the AI interview for this specific role move through the process significantly faster.We care about your human judgment: our interview and assessment stages are designed to see how you think, so we ask that you complete them on your own, without AI assistants or help from others.Job DescriptionIn 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.You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.What we're looking forStrong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similarA track record building scalable services and APIsComfort with debugging, performance work and automated testingSolid code review instinctsPreferred QualificationsProven experience in backend development, with a track record of delivering high-quality and performant projects.Demonstrated success in identifying and resolving software bugs and system bottlenecks.Experience with codebase refactoring and implementing complex features in large-scale applications.Strong understanding of algorithms, data structures, and foundational computer science concepts.Excellent analytical, problem-solving, and technical communication skills.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. 20 minutes)Technical Assessment (if your GitHub profile doesn’t fully showcase the expertise required for this role)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: – Investment Banking – M&A Advisory.Role Type: ContractorLocation: Remotemicro1 is engaging Investment Banking – M&A Advisory. to contribute to a customer's project focused on enhancing financial data analysis, modeling, and industry research processes. 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 comprehensive company and industry research to inform data-driven AI training initiatives.Perform and review buyer or target screening, comparable company analysis, and financial modeling tasks.Build, update, and troubleshoot detailed Excel-based valuation and transaction models, ensuring methodological accuracy and logical consistency.Prepare and edit materials akin to client presentations or pitchbooks, reflecting transaction execution scenarios and strategic rationale.Analyze and critique sample materials for numerical errors, weak strategy, or unclear logic, providing actionable feedback for improvement.Explain accounting treatments, valuation adjustments, deal sensitivities, and trace how key assumptions influence analytical outcomes.Deliver precise written and verbal explanations of complex financial concepts tailored to diverse audiences, leveraging strong communication skills.Preferred QualificationsExperience as a former Senior Associate (preferably third-year) or Vice President from an M&A or industry-coverage team at a leading investment bank, established M&A boutique, or sector-focused advisory firm.Substantial hands-on exposure to live acquisition or sale processes, with a track record of high-quality analysis and client-facing deliverables.Demonstrated ability to both produce and review analytical and presentation materials, ensuring they meet senior banker or client standards.Mastery in Excel modeling, including troubleshooting, scenario analysis, and presentation of outputs with clear rationale.Direct experience conducting company/industry research, target screening, comps analysis, and pitchbook preparation.Exceptional written and verbal communication abilities, with a focus on clarity, accuracy, and actionable feedback.Ability to identify and clearly articulate quantitative inaccuracies and strategic weaknesses in transaction materials.

About Micro1: Role Title: Software Engineer (Open Source Contributor)Role Type: ContractorLocation: Anywhere in the world, remoteOpportunity SnapshotPay: $50–100/hourTime per task: ~15 hours per runOnboarding: As soon as you’re selected, Talent Ops will send you everything you need to get startedYou’ll need: clear open source contributions and a profile to showcase them, such as GitHub (preferably with C++, Python, Java, Go, TypeScript, or Rust). If you don’t, you’ll be assessed through a HackerRank assessment instead.Your tasks: Build reproducible Reinforcement Learning Environments that test an AI model’s ability to fix code, add features, refactor, and optimize performance - including a golden reference solution for each problemBonus: experts who complete the AI interview for this specific role move through the process significantly faster.We care about your human judgment: our interview and assessment stages are designed to see how you think, so we ask that you complete them on your own, without AI assistants or help from others.Job DescriptionIn 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.You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.What we're looking forStrong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similarA track record building scalable services and APIsComfort with debugging, performance work and automated testingSolid code review instinctsPreferred QualificationsProven experience in backend development, with a track record of delivering high-quality and performant projects.Demonstrated success in identifying and resolving software bugs and system bottlenecks.Experience with codebase refactoring and implementing complex features in large-scale applications.Strong understanding of algorithms, data structures, and foundational computer science concepts.Excellent analytical, problem-solving, and technical communication skills.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. 20 minutes)Technical Assessment (if your GitHub profile doesn’t fully showcase the expertise required for this role)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.