On-Site - Ai Data Annotator Apprentice (English Required)

At Stack Builders, we're looking for anAI Data Annotatorto support the creation of high-quality datasets thatpower real-world AI systems.This role is an entry point intoAI and machine learning workflows, where you will build foundational skills in data quality, annotation, and structured processes that support production-grade systems. As part of our broader AI delivery pipeline, your work contributes to systems that continuously improve over time, not just one-time outputs.You will work in a structured, collaborative,in-office environment alongside engineers and technical leadsto produce accurate, consistent, and production-ready data used in computer vision, sports analytics, and robotics applications. Over time, this role cangrow into opportunitiesin data quality, operations, and more advanced AI-related positions.This is an entry-level, on-site role based in our Quito office.IMPORTANT:To be considered for this position, please attach your CV in English.By applying to the job, you confirm you have read and accept ourEcuador Privacy Notice(also available at the bottom of this post). This is mandatory to be considered for our vacancy.What You'll DoPerform data annotation and labeling across images, video, and structured datasetsLabel objects, events, and behaviors using clearly defined guidelinesReview and validate annotations to ensure accuracy, consistency, and completenessFollow structured workflows designed for high-quality AI training dataIdentify edge cases, ambiguous scenarios, and data inconsistenciesEscalate unclear cases and contribute to improving annotation guidelinesCollaborate with engineers and team leads to continuously improve dataset qualityImprove annotation speed and accuracy over time through feedback and repetitionProjects You May Work OnComputer VisionObject detection and trackingVideo annotation and event labelingDataset preparation for model training and evaluationSports AnalyticsAthlete tracking and motion labelingEvent detection (jumps, plays, movements)Performance analysis datasetsRobotics & Sensor SystemsScene and environment labelingMulti-frame and multi-sensor annotationSafety-critical dataset validationA Professional level of English is required (B2)Bachelor's degree in Computer Science, Information Technology, Mathematics, or a similar fieldStrong attention to detail and consistencyAbility to follow structured instructions and guidelines preciselyReliable, organized work habitsWillingness to learn and improve through feedbackComfortable working with computers and web-based toolsAbility to work on-site in the Stack Builders Quito officeNice to Have (Not Required)Interest in AI, machine learning, or data systemsExperience with data entry, QA, or annotation toolsFamiliarity with images, video, or digital mediaWhat Success Looks LikeCreate a substantial amount of annotations dailyHigh accuracy and consistency in labeled dataStrong attention to edge cases and ambiguityMeasurable improvement in speed and quality over timeClear communication when something is unclearContributions to datasets that engineers can confidently use in production systemsWhat You'll GainHands-on experience with AI and machine learning workflowsExposure to real-world applications in computer vision, sports, and roboticsExperience working alongside engineers and technical teamsA strong foundation for future roles in data, QA, or AI-related fieldsWhy This Role MattersAI systems are only as good as the data they learn from.Your work directly impacts how models perform in real-world environments by ensuring the data is accurate, consistent, and reliable. This role is a key part of building AI systems that improve over time, not just once.A certifiedGreat Place to Workculture!Astrong learning culturewith regular 1:1 sessions with your manager, and training.Quarterly Employee Assessments Cyclesto keep track of your career advancement and skill development.Top-tierprivate health and dental insurance.Mental health assistance bonus(subject to policy and after trial period).7 daysof annual vacation, paid time off for sick days, and parental and family leave.Quarterly virtual and in-personteam-building activities, birthday and holiday celebrations, and other special events.Exciting and impactful projects from different industries leveraging varioustools and technologies.AWelcome Packageon your first day with a Stack Builders laptop and additional equipment.--More than our EEO statement, this is what makes us a Great Place to Work:Stack Builders is proud to be an equal opportunity employer. We are committed to creating a safe and inclusive work environment and don't tolerate discrimination or harassment during the hiring process or time of employment.All team members and candidates are assessed and appreciated for their attitude, qualifications, and potential - regardless of race, religion, color, nationality, sexual orientation, gender expression or identity, age, disability, marital status, pregnancy, and other characteristics protected by law.You can learn more about us by visiting ourwebsite, or taking a look at ourcommunity content.--Aviso de Privacidad Stack Builders Ecuador:Al postular a nuestras vacantes en Ecuador, usted confirma que ha leído y acepta nuestro Aviso de Privacidad de Ecuador.CLÁUSULA INFORMATIVA PARA TRATAMIENTO DE DATOS DE CANDIDATOS1. Datos del responsable del tratamiento:SBIE CONSULTORÍA DE SOFTWARE CIA. LTDA (en adelante STACK BUILDERS)Dirección: Av. Amazonas E3-39 y Av. Naciones Unidas, Edif. La Previsora, piso 10, ofic. ****, QuitoRUC: *************Teléfono: ***********Correo electrónico: ******2. Finalidades:En STACK BUILDERS tratamos la información que nos facilita con el fin de analizarla para el cargo pretendido y mantenerle informado de las distintas vacantes a un puesto de trabajo que se produzcan en nuestra organización.3. Conservación:Los datos proporcionados se conservarán hasta la adjudicación de un puesto de trabajo o hasta que usted ejerza su derecho de supresión o eliminación.4. Cesiones:Los datos no se cederán a terceros salvo en los casos en que exista una obligación legal.5. Ejercicio de derechos:Usted tiene derecho a obtener información sobre si en STACK BUILDERS estamos tratando sus datos personales, por lo que puede ejercer sus derechos de acceso, actualización, rectificación, eliminación, portabilidad de datos, oposición y limitación a su tratamiento ante STACK BUILDERS, a la dirección de domicilio señalada al inicio, o en la dirección de correo electrónico ****** , adjuntando copia de su documento de identificación.Si considera que su requerimiento no ha sido satisfecho, podrá presentar una reclamación ante la autoridad de control de protección de datos.