Data Assistant

at  Seeing Machines

Seeing Machines has developed the world’s most advanced human data-driven technology which enhances transport safety by dramatically reducing fatal accidents every day. We’re on a mission to achieve zero transport fatalities.
With at least 1 million cars on the road using our state-of-the-art operator monitoring technology developed by the passionate team at Seeing Machines, we provide real-time protection from distraction and drowsiness-related driving events. Seeing Machines works with many of the world’s leading brands (including General Motors, Mercedes Benz, Qantas, Caterpillar, Toll) across the transport sectors automotive, commercial road transport (Fleet), and aviation.
Location: Canberra, ACT
Employment Term: 12 months contract
Reporting To: Data Acquisition Team Manager
As a member of the Data Engineering Department, Data Assistant is responsible to support Engineers for data collection, curation, annotation and management activities according to the defined protocols and guidelines.

KNOWLEDGE, SKILLS AND EXPERIENCE:

• Minimum year 12 school certificate.
• Excellent attention to detail and communication skills
• Ability to follow and execute defined workflows.
• Ability to maintain quality, focus and accuracy whilst performing repetitive tasks.
• Proficient in reporting problems using relevant platforms (e.g., Microsoft Office, Google G Suite, Slack, JAMA, TestRail etc.).
• Current driver license
• Effective Team player
• Good data management and/or file management skills.
• Ability to discern issues in the work process and report accordingly to the management team.
• Experience in using image or video editing software (e.g., Photoshop, Movie Maker)
• Understanding of digital image formats
• Previous experience in video data collection, curation, annotation and management will be considered an advantage.
• Good interpersonal skills with a positive attitude and enthusiasm for continuous improvement.

• Collect and curate datasets according to defined data collection protocols and specifications
• Label/Annotate data sets according to defined data annotation protocols and instructions.
• Organize datasets and annotation output according to defined dataset structure specification.Arrange datasets, annotation output, work-log and other associated files according to procedural guidelines.