About Micro1: Job Title: PE / M&A Document Sourcing ExpertJob Type: ContractorLocation: RemoteJob Summary: As a PE / M&A Document Sourcing Expert, 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:• Source and provide eligible finance transaction documents, such as Confidential Information Memoranda (CIMs), Sell-Side Information Memoranda (SIMs), Investment Committee Memos, Share Purchase Agreements (SPAs), Private Equity board decks, Private Placement Memoranda (PPMs), management presentations, and related deal materials.• Validate and confirm that all provided documents are free from confidentiality agreements, NDA protections, material non-public information (MNPI), or proprietary restrictions, ensuring legal eligibility for use.• Log detailed document metadata, including transaction type, industry, deal structure, and origin, to maintain robust traceability and compliance.• Classify documents according to transaction structure and financial context.• Work closely with compliance and operations teams to uphold sourcing standards, clarify eligibility, and support seamless document submission workflows.• Exercise careful judgment in differentiating public and restricted financial information.• Engage in professional, document-driven communication and negotiation regarding document availability, eligibility, and compensation.Required Skills and Qualifications:• Demonstrated experience in private equity, investment banking, M&A, capital markets, transaction advisory, corporate development, due diligence, or related finance roles.• Hands-on familiarity with a wide variety of transaction documentation, acquired through real-world deal execution or financial advisory functions.• Expert ability to identify legally shareable materials and distinguish them from materials subject to confidential, NDA, or MNPI restrictions.• Superior attention to detail when reviewing, validating, and classifying financial documents.• Strong organizational skills for managing document tracking, metadata logging, and maintaining precise submission records.• Comfortable operating independently in a fully remote, asynchronous environment where requirements may rapidly evolve.• Commitment and ability to provide only eligible, compliant transaction documents for AI training use.Preferred Qualifications:• Previous experience at private equity firms, investment banks, Big 4 advisory, corporate development, restructuring, leveraged finance, or similar deal-centric organizations.• Familiarity with sourcing documents from SEC EDGAR, M&A filings, investor relations portals, bankruptcy courts, or licensed financial data providers.• Experience managing document-intensive workflows within financial institutions, advisory firms, law practices, or alternative asset managers.Additional Info:This role is document-driven and centers on the provision of eligible transaction materials. You will be directly responsible for sourcing and supplying the documents. No confidential, NDA-protected, proprietary, or MNPI content can be accepted. Examples of eligible documents may include older transaction materials no longer under restriction, publicly filed documents, redacted materials, internal training/sample documents, or public investor presentations.
Attention to detail
Data collection
License verification
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About Micro1: Job Title: Customer service operationsJob Type: ContractorLocation: RemoteJob Summary: As a Customer service operations, 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:Contribute expert insights to advance the performance and reliability of AI-powered customer service solutions.Review and analyze customer service scenarios to provide detailed, actionable feedback for AI model training.Demonstrate exceptional written and verbal communication to capture the real-world nuances of customer interactions.Utilize tools such as Access, Excel, Word, PowerPoint, and Outlook to document, track, and communicate findings.Collaborate with the customer's team to ensure high standards of data accuracy, organization, and confidentiality.Deliver high-quality, contextually relevant input to support the continuous improvement of AI systems.Participate in feedback sessions and calibrate annotation standards to reflect best practices in customer service operations.Required Skills and Qualifications:Extensive experience in customer service operations, with a deep understanding of best practices and challenges.Exceptional written and verbal communication skills, with a keen eye for detail and clarity.Familiarity with tools such as Excel, Word, PowerPoint, and Outlook.Strong analytical and problem-solving abilities, able to interpret complex scenarios objectively.Ability to work independently and remotely, demonstrating accountability and discretion.Commitment to delivering high-quality, accurate data for AI model development.Adaptability to evolving project requirements and openness to feedback.
Written communication
Verbal communication
Problem-solving
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About Micro1: Job Title: Video Caption SpecialistJob Type: ContractorLocation: RemoteJob SummaryJoin our customer as a Video Caption Specialist, where 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 ResponsibilitiesReview short (5-second) videos of robots performing a variety of physical tasks while closely analyzing the corresponding AI-generated captions.Detect visual-text discrepancies, identifying any hallucinations (errors) or omissions in the captions compared to the real video content.Rewrite captions with clear, concise, and grammatically correct language, ensuring high accuracy in describing robot actions and motions.Emphasize the precision of robot movement and task execution in every caption, as these details are critical for model training.Maintain strict consistency with established project guidelines and rubrics, applying strong written judgment and editing standards.Meet or exceed daily throughput and quality benchmarks to ensure timely and reliable project delivery.Collaborate with the customer’s team, providing actionable feedback and sharing best practices to continually enhance caption accuracy.Required Skills and QualificationsFluency in English with excellent grammar, spelling, and written clarity.Keen attention to detail and demonstrated ability to spot subtle errors or inaccuracies.Comfortable analyzing and comparing short video clips and their written descriptions repeatedly.Strong judgment for rewriting and editing text for maximum accuracy and clarity.Ability to adhere to detailed instructions and maintain consistency across structured, repetitive review work.Reliable internet connection and a computer capable of smooth video streaming.Excellent communication skills, both written and verbal, with a strong care for clarity and accuracy.Preferred QualificationsExperience in AI training data annotation, RLHF, or LLM evaluation.Background in writing, editing, journalism, technical writing, transcription, or copy editing.Familiarity with robotics, computer vision, or video annotation workflows.
About Micro1: Job Title: 3D Motion Capture ReviewerJob Type: ContractorLocation: RemoteJob Summary:Join our customer as a 3D Motion Capture Reviewer, you'll apply your expertise to help train next-generation AI systems and Robotics. Your work will shape how models and robots learn, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters.Key Responsibilities:Review short motion capture playback clips within the customer’s proprietary platformValidate that 3D objects make realistic, physically plausible contact with human body jointsAdjust object positions and rotations to ensure optimal contact and reduce instances of visual artifactsDecide whether each clip should be included or excluded from the training dataset based on strict quality criteriaApply precise edge-case tags to annotate unique issuesFollow detailed project guidelines rigorously, maintaining high consistency across hundreds of repetitive review cyclesRecalibrate your process promptly in response to evolving client guidelines or feedback updatesRequired Skills and Qualifications:Demonstrated 3D spatial intuition and the ability to judge contact and physical plausibility accuratelyExceptional attention to detail and commitment to quality in repetitive workflowsComfort working with web-based or desktop annotation/review platforms for 3D playbackStrong verbal and written communication skills to interpret and implement evolving guidelinesProficiency in applying detailed instructions uniformly to a high volume of tasksReliable internet access and a computer capable of smooth 3D video playbackFlexibility to recalibrate quickly with feedback or shifting requirementsPreferred Qualifications:Background in gaming, 3D design, animation, VFX, or related technical/creative fieldsExperience in QA for games, software, robotics, or 3D data annotationStrong spatial sense from CAD, industrial design, or architecture studies.
3d spatial intuition
Guideline compliance
Attention to detail
About Micro1: Job DescriptionDescripción del PuestoTítulo del puesto: Generalista de Datos-VideoTipo de contrato: Contratista / FreelanceUbicación: Remoto – Expertos radicados en América Latina y el Caribe. Países seleccionados incluyen:México, Costa Rica, Panamá, República Dominicana, Brasil, Argentina, Colombia, Chile, Uruguay, Jamaica, Bahamas y Barbados.Plazo de postulación: Las aplicaciones cierran el 15 de mayo a las 5:00 pm PST.Resumen del PuestoÚnete al equipo de nuestro cliente como Generalista de Datos-Video y genera un impacto directo en el futuro del reconocimiento de actividades y la robótica. En este rol remoto de nivel experto, contribuirás con datos vitales de movimiento y video sincronizados, ayudando a avanzar modelos de machine learning de última generación para tecnologías de próxima generación.Responsabilidades PrincipalesCapturar datos precisos de movimiento utilizando los sensores IMU de tu smartphone durante actividades físicas específicas.Grabar footage de video sincronizado para garantizar la exactitud de los datos y mejorar la integridad de toda la información de movimiento recolectada.Seguir protocolos técnicos detallados para cumplir consistentemente con estrictos estándares de calidad, etiquetado y determinismo.Entregar un mínimo de 10 horas de datos de video de alta calidad y aprobados por semana durante toda la duración del proyecto.Comunicarte de forma clara y proactiva con el equipo para aclarar requisitos y compartir insights sobre las prácticas de recolección de datos.Mantener una entrega oportuna y confiable de tus resultados, alineada con los hitos y expectativas del proyecto.Participar en revisiones de compatibilidad de dispositivos y en un innovador proceso de entrevista habilitado por IA como parte del onboarding.Requisitos y Cualificaciones ObligatoriasAcceso a una correa para la cabeza (head strap) para poder grabar ambas manos dentro de las 48 horas siguientes a la fecha de inicio.Dispositivos compatibles: iPhone 11 o superior, Google Pixel 6 o superior, y Samsung Galaxy S21 o superior.Atención meticulosa al detalle y un historial comprobado de seguimiento de protocolos estandarizados.Capacidad demostrada para gestionar consistentemente la producción y cumplir con plazos en un entorno dinámico y basado en datos.Excelentes habilidades de comunicación escrita y verbal, esenciales para la documentación y la colaboración remota.Alto nivel de conocimiento tecnológico y experiencia con dispositivos móviles para la captura de datos de sensores y video.Capacidad física para realizar tareas de movimiento repetitivo de forma segura y efectiva.Acceso a un smartphone compatible capaz de recolectar datos de alta fidelidad.Cualificaciones PreferidasAntecedentes en robótica, kinesiología, recolección de datos con sensores o disciplinas técnicas relacionadas.Experiencia en análisis de movimiento humano, segmentación de actividades o etiquetado de conjuntos de datos para machine learning.Familiaridad con la estructuración de conjuntos de datos a gran escala para aplicaciones de IA y robótica.Nos Movemos RápidoNormalmente cubrimos los puestos en menos de 48 horas, por lo que buscamos compañeros de equipo que estén listos para comenzar inmediatamente. Si eres seleccionado, nos encantaría que realices tu primera tarea tan pronto como avances con tu postulación.Estructura de CompensaciónLa compensación es basada en resultados; los expertos son pagados por cada video grabado que cumpla con las especificaciones del proyecto. El tiempo requerido para completar el trabajo puede variar según la experiencia y el flujo de trabajo del experto.Se aplican requisitos mínimos de entrega: los videos deben tener una duración específica definida por el proyecto, y los expertos deben enviar un mínimo de 10 a 15 horas de video por semana.Inicio y DisponibilidadNormalmente llenamos los roles dentro de las 48 horas, por lo que buscamos personas listas para empezar de inmediato. Si eres seleccionado, se espera que comiences tu primera tarea dentro de las ~24 horas posteriores a completar el onboarding.Requisitos de EquipoMóvil:Las tareas de este proyecto deben realizarse desde un dispositivo móvil (smartphone o tablet). Los expertos grabarán su flujo de trabajo directamente desde el dispositivo móvil mientras completan las tareas.Correa para la cabeza / Wearable:Las tareas de este proyecto deben realizarse utilizando una cámara montada en la cabeza (configuración con head strap). Los expertos grabarán video en primera persona de tareas físicas. Las especificaciones exactas de la correa para la cabeza y el equipo acompañante se compartirán durante el onboarding.
Data collection
Video recording
Sensor data capture
+2 more