Data Operations & Annotation Engineer

St Engineering; Singapore; On-site; SGD 33,000 - 61,000; Full time

Job summary

Singapore Technologies Engineering Ltd is seeking a Data Operations and Annotation Specialist to manage the data lifecycle for DA, VA, CV and ML projects, collecting, labeling and quality-checking UAS and sensor datasets to ensure completeness, traceability, and readiness for model development, testing and validation.

You will coordinate data annotation, metadata, and the release of dataset packages, while maintaining registers and supporting field tests, demonstrations and engineering reviews

Qualifications

• Working knowledge of file management, dataset organization, digital storage and spreadsheets or equivalent tracking tools.
• Ability to handle large image, video, telemetry or sensor datasets accurately and systematically.
• Familiarity with data annotation tools and common annotation methods such as boxes, polygons, masks, labels or event tags.
• Ability to follow technical instructions, naming conventions, annotation guidelines and data-handling procedures.
• Good attention to detail, organizational ability and communication skills.
• Ability to identify data-quality issues and elevate unclear or technically ambiguous cases to the relevant engineer.
• Willingness to support field tests, demonstrations and data-collection activities when required.

Responsibilities

• Collect and ingest image, video, telemetry, and sensor data from UAS platforms and related equipment.
• Record metadata such as data source, collection conditions, platform, sensor configuration, and dataset status.
• Organize raw, processed, annotated, and test datasets with approved naming, storage, version-control and access procedures.
• Perform data annotation using approved taxonomies and guidelines, including bounding boxes, polygons, masks, key points, class or event labels and timestamps.
• Conduct first-level checks for missing or corrupted files, incomplete metadata, duplicate samples, naming inconsistencies and annotation errors.
• Prepare traceable dataset packages for model training, evaluation, system testing, validation, demonstrations and engineering review.
• Maintain dataset registers, annotation status, version and release records, handover notes and known-issue logs.
• Support laboratory tests, flight tests, field trials and demonstrations where data collection or data handling is required.

Job description

Singapore Technologies Engineering Ltd is seeking a Data Operations and Annotation Specialist to manage the data lifecycle for DA, VA, CV and ML projects, collecting, labeling and quality-checking UAS and sensor datasets to ensure completeness, traceability, and readiness for model development, testing and validation.

You will coordinate data annotation, metadata, and the release of dataset packages, while maintaining registers and supporting field tests, demonstrations and engineering reviews