The position is responsible for supporting the development and continuous improvement of advanced robotics and machine learning systems through accurate review, labeling, and validation of robot‑generated data. It ensures high‑quality annotated datasets by analyzing images, videos, sensor data, and operational outputs in accordance with defined guidelines. The role contributes directly to improving robot performance, accuracy, and autonomy by providing precise inputs that enable machine learning models to learn from real‑world scenarios.
KEY RESPONSIBILITIES
- Review, label, and annotate robot‑generated data, including images, videos, system logs, and tele‑operation recordings.
- Break down robot demonstration videos into structured task steps, sub‑steps, and individual robot actions.
- Accurately label robot actions, behaviors, task stages, and operational sequences.
- Create clear and structured natural language descriptions of robot behaviors, actions, and environments.
- Annotate visual data by drawing bounding boxes, labeling object types, and tracking objects across video frames.
- Identify objects, movements, patterns, anomalies, and environmental factors to support AI training and model development.
- Use specialized annotation tools, platforms, and data management systems in accordance with defined standards.
- Perform quality checks, validations, and self‑reviews to ensure accuracy, consistency, and completeness of outputs.
- Identify edge cases, inconsistencies, ambiguities, and robot failure modes, and escalate findings with clear feedback.
- Collaborate with operations analysts, team leads, and technical teams to improve annotation workflows and outcomes.
- Maintain accurate documentation of completed tasks, issues identified, and observations for tracking and reporting.
- Adhere to data security, confidentiality, workplace safety, and company policies at all times.
- Participate in training sessions and adapt to evolving tools, workflows, and project requirements.
QUALIFICATIONS & REQUIREMENTS:
- You must have at least completed two (2) years of college or university education (fresh graduates are encouraged to apply).
- You must be comfortable working with annotation platforms, software tools, spreadsheets, and technology‑driven systems.
- You must have strong attention to detail and the ability to perform high‑accuracy, repetitive tasks.
- You must have analytical skills to identify patterns, anomalies, and inconsistencies while following strict guidelines.
- You must have basic English proficiency with the ability to understand instructions and document observations clearly.
- You must be methodical, organized, focused, disciplined, and patient.
- You must be able to thrive in a structured, fast‑paced, and technology‑driven work environment.
- You must be willing to work on‑site and on shifting schedules as required.
- You may have prior experience in data annotation, quality assurance, data processing, or back‑office operations. Familiarity with robotics, AI, machine learning workflows, gaming, simulation environments, or cybersecurity practices is an advantage.
Work Schedule: Shifting
Work Setup: Onsite, Muntinlupa City
