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About Micro1: Job DescriptionRole Title: Bilingual Cantonese Psychologist (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Bilingual Cantonese Psychologist (PhD)s to contribute 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.Scope of WorkAnalyze and assess psychological case studies and documentation, providing nuanced feedback and insights based on professional experience.Develop culturally sensitive psychological scenarios and materials in both Cantonese and English for data enrichment and model training purposes.Evaluate AI-generated content for accuracy, ethical considerations, and alignment with psychological best practices.Collaborate with interdisciplinary teams to share perspectives and ensure holistic, effective solutions for diverse user needs.Document evaluation processes and findings clearly and systematically, supporting transparency and reproducibility.Apply bilingual communication to interpret and refine psychological assessments, ensuring fidelity across languages and cultural contexts.Preferred QualificationsPhD in Psychology with demonstrated experience in both clinical and academic settings.Native or near-native fluency in Cantonese and English, with proven ability to navigate complex psychological terminology in both languages.Strong analytical and critical thinking skills with a track record of ethical decision-making.Experience developing or evaluating case studies and psychological assessments.Exceptional written and verbal communication skills, especially in translating nuanced psychological concepts between Cantonese and English.Familiarity with digital tools for remote collaboration and effective documentation.Demonstrated cultural sensitivity and adaptability in multicultural environments.

About Micro1: Job Type: Contractor (~15 hrs a week)Location: RemoteSchedule: Flexible, you pick the hours and days (including weekends if desired)Job Summary: 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.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 instinctsA strong testing background is a big plus — experience designing test strategy, building and maintaining large test suites, diagnosing flaky tests, or raising the testing bar on a team.Preferred 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.A note on the process: our interview and assessment stages are designed to see how you think, so we ask that you complete them without outside assistance. The same applies once you're on the project — the value of the work comes from your own judgment.Process:Apply to the role, filling out the screening questionsComplete AI Interview (approx. 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: Simulation Expert — Real-to-Sim 3D Environments & AssetsRole Type: ContractorLocation: Remotemicro1 is engaging Simulation Experts — Real-to-Sim 3D Environments & Assets to contribute to a customer’s project focused on advanced simulation and artificial intelligence training. 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:Build and configure 3D assets and environments in simulation platforms (Isaac Sim, Gazebo, MuJoCo, or similar)Translate real-world objects and instruments into simulation, matching geometry, scale, material, and physical behaviorCollaborate with scientists and subject-matter experts to validate accuracy of simulated environmentsTune physical parameters (mass, friction, collision properties, joint dynamics) so simulated objects behave like their real counterpartsTroubleshoot discrepancies between simulated and real-world behaviorQualifications:Hands-on experience with at least one robotics/physics simulation platform (Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, PyBullet, etc.)Background in 3D modeling, CAD, or environment designUnderstanding of physics simulation (rigid body dynamics, materials, sensors)Strong collaboration skills working with scientific/technical stakeholdersAttention to detail in matching real-world fidelity

About Micro1: Job DescriptionJob Title: Research Marketing LeadJob Type: Full-timeLocation: RemoteThe RoleWe’re looking for a Research Marketing Lead to own how our research, benchmarks, and technical work are positioned, launched, and adopted across the AI ecosystem.You’ll work closely with our research team to turn technical work into high-impact launches that earn attention, adoption, and citations. You’ll develop a deep understanding of our research and methodology, shape positioning and narratives, establish a high quality bar for publication, and build go-to-market strategies that put our work in front of the right researchers, developers, AI labs, and technical audiences.What You'll DoOwn research GTM end-to-end, developing launch and distribution strategies for research, benchmarks, evaluations, and other technical work.Establish the publication-readiness bar for research and benchmarks, partnering with researchers to ensure methodology, claims, results, and supporting materials are rigorous, clear, and defensible before launch.Develop positioning and narratives that translate complex technical findings into clear, differentiated stories without sacrificing technical accuracy or depth.Identify high-impact research opportunities by understanding emerging AI trends, open questions, competitive research, and what matters to researchers and practitioners.Shape research packaging and distribution, including research pages, benchmark releases, technical content, launch materials, and other assets that drive discovery and usage.Build relationships across the AI research ecosystem, including researchers, AI labs, developers, technical communities, and influential practitioners.Drive adoption of our research and benchmarks, identifying the audiences, communities, and channels most likely to use, reference, and build on our work.Measure research impact, tracking adoption, citations, engagement, usage, and qualitative feedback to understand what resonates and where our work is creating value.Create feedback loops between the market and research, bringing ecosystem insights back to the research team to inform future benchmarks, evaluations, and research priorities.What We're Looking ForExperience marketing, launching, or driving adoption of technical research, AI/ML products, developer products, benchmarks, evaluations, or similarly complex technical work.Strong track record developing and executing go-to-market strategies for technical audiences.Ability to deeply understand technical work and translate it into clear, credible, differentiated positioning and narratives.Strong understanding of the AI/ML research ecosystem, including major labs, research trends, benchmarks, evaluations, and technical communities.Exceptional written communication skills, with the ability to communicate effectively with both highly technical and broader audiences.Strong analytical judgment and the ability to evaluate whether technical claims, supporting evidence, and research materials are ready for external publication.Experience building relationships with researchers, technical leaders, developers, or AI communities.High ownership and the ability to take ambiguous initiatives from strategy through execution.Strong cross-functional skills and the ability to work closely with researchers while maintaining a high bar for technical accuracy and quality.PreferredBackground in AI, machine learning, computer science, or another technical field.Experience at an AI lab, AI-native company, research organization, developer-focused company, or highly technical startup.Experience working directly with research teams and technical leadership.Familiarity with academic publishing, AI benchmarks, evaluations, citations, and research dissemination.Experience launching technical content or research that achieved meaningful adoption, citations, community engagement, or industry impact.Compensation & Benefits NoticeThe national pay range for this full-time position is base salary of $150,000 –$210,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

About Micro1: Job DescriptionRole Title: Developmental Psychology (PhD)Role Type: ContractorLocation: Remotemicro1 is engaging Psychologists to contribute their expertise to a customer's project at the intersection of psychology and technology. 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 is especially suited for contributors who have a background in research or academic work related to child development or developmental psychology, with or without direct clinical experience.Scope of WorkEvaluate, review, and annotate data sets relevant to child development and developmental psychology for AI system training.Provide detailed insights and feedback on the accuracy, cultural appropriateness, and developmental relevance of data and model outputs.Contribute expert analysis to scenario development, test cases, and real-world situations involving children’s learning and behavior.Collaborate with interdisciplinary teams to inform model improvements and ensure psychological integrity in AI interactions.Create or refine guidelines for AI systems to better address linguistic, cognitive, and psychosocial aspects of child development across diverse backgrounds.Document findings and recommendations with clarity and depth to support ongoing AI research and development.Preferred QualificationsDoctorate (PhD) in Child Development, Developmental Psychology, or closely related field.Demonstrated involvement in technology-driven, digital, or AI-focused projects relevant to child development is highly desirable.Comfortable working remotely on digital platforms, delivering contributions independently while engaging with a distributed team.