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About Micro1: Job DescriptionRole Title: Manufacturing Design EngineerRole Type: ContractorLocation: Remotemicro1 is engaging Manufacturing Design Engineer experts to contribute to a customer’s project focused on advanced mechanical design for manufacturing. 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. Participants will leverage proficiency in FreeCAD or similar parametric CAD platforms to design, document, and validate production-ready components and assemblies. This opportunity is ideal for professionals passionate about precision engineering, technical documentation, and advancing the future of intelligent design tools.Scope of WorkCreate and modify detailed parametric 3D CAD models of mechanical parts and assemblies using FreeCAD or comparable software.Develop comprehensive engineering drawings, including GD&T and tolerance stack-ups, suitable for manufacturing handoff.Design for a variety of manufacturing processes, such as sheet metal fabrication, CNC machining, plastics, and injection molding.Perform CAD validation and quality assurance reviews to ensure model accuracy and readiness for production use.Prepare clear, concise technical documentation and assembly instructions as reference materials for AI model training.Incorporate feedback from technical reviewers to revise and improve CAD models and supporting documents.Preferred QualificationsMinimum 2 years’ experience designing mechanical components for manufacturing environments.Expertise in FreeCAD or similar parametric CAD software for advanced modeling, assemblies, and drawing generation.Hands-on exposure to sheet metal, CNC, plastics, and injection molding design considerations.Strong knowledge of GD&T, tolerance analysis, and Design for Manufacturing (DFM) best practices.Proven ability to produce production-grade CAD models and validate them against real-world manufacturability criteria.Exceptional written and verbal communication skills, ensuring clarity in documentation and collaborative exchanges.

About Micro1: Job DescriptionRole Title: Computer Vision Data Annotation SpecialistRole Type: ContractorLocation: Northern America, Latin America, Europe micro1 is engaging Computer Vision Data Annotation Specialists to contribute to a project advancing hand tracking and pose estimation technologies. 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 WorkReview and annotate images and video frames, focusing on detailed hand pose landmarks including wrists, finger joints, and fingertips.Validate the accurate identification of left and right hands in diverse scenarios.Detect, flag, and document edge cases such as occlusion, motion blur, gloves, multiple hands, and low-light conditions.Apply thorough annotation guidelines and quality rubrics to ensure data reliability and consistency.Maintain high accuracy and productivity when managing large datasets for computer vision training.Report ambiguous, challenging, or unclear cases to project leads for clarification and guidance.Perform quality assurance reviews on previously annotated data as needed.Preferred QualificationsProven experience in image or video annotation for machine learning or AI projects.Proficiency with annotation platforms.Strong attention to detail, spatial reasoning, and ability to follow intricate visual guidelines.Basic familiarity with computer vision concepts such as landmarks, bounding boxes, confidence scores, and ground truth labeling.Experience with hand or human pose estimation datasets, or frameworks.Background working on gesture recognition, sign language, AR/VR hand-tracking, or related datasets.Excellent written and verbal English communication skills for documenting findings and collaborating remotely.

About Micro1: Job Title: Human Data ManagerJob Type: Full-timeLocation: RemoteJob 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.Key ResponsibilitiesDesign, build, and manage robust data workflows for accurate annotation, collection, processing, and analysis.Establish and monitor KPIs to optimize operational performance and drive data-driven decision-making.Analyze datasets to uncover actionable insights and present recommendations that accelerate efficiency.Collaborate cross-functionally to align data strategies with overarching business objectives.Develop and maintain comprehensive reporting frameworks tracking key metrics and workflow improvements.Continuously refine processes to ensure scalability, maintain data integrity, and uphold quality standards.Demonstrate ownership and a proactive, hands-on approach to identifying and solving operational challenges.Required Skills and QualificationsTechnical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.Familiarity with operational processes and a passion for increasing efficiency.Ability to interpret and communicate data-driven insights clearly and persuasively, both in writing and verbally.Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast-paced environment.Excellent collaboration skills and attention to detail in managing data quality and validation.Preferred QualificationsBackground in engineering or technical fields with operational focus or human data projects.Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).Internship or project-based experience in data management, AI/ML, or process optimization.Regional Hiring NotesThis role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time-zone alignment. Responsibilities and expectations are identical; employment terms vary by region.

About Micro1: Job Title: Human Data Manager, New GradJob Type: Full-timeLocation: RemoteJob 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.Key ResponsibilitiesDesign, build, and manage robust data workflows for accurate annotation, collection, processing, and analysis.Establish and monitor KPIs to optimize operational performance and drive data-driven decision-making.Analyze datasets to uncover actionable insights and present recommendations that accelerate efficiency.Collaborate cross-functionally to align data strategies with overarching business objectives.Develop and maintain comprehensive reporting frameworks tracking key metrics and workflow improvements.Continuously refine processes to ensure scalability, maintain data integrity, and uphold quality standards.Demonstrate ownership and a proactive, hands-on approach to identifying and solving operational challenges.Required Skills and QualificationsRecent Bachelor’s or Master’s graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or other related fields.Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.Familiarity with operational processes and a passion for increasing efficiency.Ability to interpret and communicate data-driven insights clearly and persuasively, both in writing and verbally.Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast-paced environment.Excellent collaboration skills and attention to detail in managing data quality and validation.Preferred QualificationsBackground in engineering or technical fields with operational focus or human data projects.Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).Internship or project-based experience in data management, AI/ML, or process optimization.Regional Hiring Notes:This role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time-zone alignment. Responsibilities and expectations are identical; employment terms vary by region.

About Micro1: Job DescriptionRole Title: Biochemistry ExpertRole Type: ContractorLocation: Remotemicro1 is engaging Biochemistry Experts to contribute to a customer's project focused on advancing AI capabilities in the life sciences. 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 WorkReview complex biochemical datasets, research findings, and protocols to provide accurate, expert-level annotation and validation.Develop and refine content, use cases, and scenarios based on current biochemistry practices for AI model training purposes.Assess the scientific validity and clarity of biochemistry-related prompts, model-generated outputs, and informational resources.Collaborate with technical teams to translate domain-specific insights into actionable feedback for improving AI systems.Identify knowledge gaps, ambiguities, and edge cases within biochemical content to enhance model robustness.Deliver clear, concise written and verbal explanations of complex concepts to inform AI training processes.Participate in iterative review cycles to ensure the ongoing accuracy and relevance of biochemistry inputs.Preferred QualificationsAdvanced degree (Master’s, PhD, or equivalent experience) in Biochemistry, Molecular Biology, or a related field.Demonstrated expertise in biochemical mechanisms, laboratory methods, and current literature.Strong analytical and critical thinking skills applied to data interpretation and problem solving.Exceptional written and verbal communication abilities, with a passion for clarity and detail.Experience contributing to scientific publications, peer reviews, or educational content.Familiarity with interdisciplinary collaboration, ideally in research, biotech, or health science projects.Curiosity for technology and openness to leveraging domain knowledge in innovative AI contexts.