Data Assistant - Remote (Australia)

Datarock

Datarock is a leading mining technology company catering to an extensive and expanding clientele across the global mining and exploration industry.

Our cutting-edge products harness the power of computer vision technologies, aiding geologists and geotechnical engineers in extracting crucial geological and geotechnical information from imagery and videos commonly collected in mining environments.

Complementing our exceptional products, our Applied Science team delivers expert professional services, specialising in the application of machine learning to tackle geoscience challenges throughout the exploration and mining cycle.

Our technology team is a powerhouse of specialised talent, including data scientists, machine learning and computer vision engineers, software engineers and UX developers. They work in close collaboration with our Geo Ops and Applied Science teams to ensure the successful and secure deployment of cutting-edge geological and geotechnical machine-learning products. This cohesive teamwork enables us to deliver groundbreaking solutions that revolutionise the mining and exploration industry, providing invaluable insights and efficiency to our clients.

With team members across Australia and New Zealand, we cultivate a dynamic and collaborative work environment, fostering innovation, professional growth and development. Emphasising flexible work hours and remote options, we empower each team member to excel in an environment tailored to their individual needs.

For more information about us, please visit our website: www.datarock.com.au

Job Summary

As a Data Assistant reporting to the Data Coordinator, you will play a crucial role in the development and improvement of Datarock’s computer vision models and applications.

Your primary responsibility will be to meticulously annotate and label imagery to train machine learning models. In addition, you’ll support the wider Customer Success & Operations Team in all aspects of delivering high-quality geotechnical and geological datasets to our customers, from managing our Technical Evaluations to assisting with data collation and correction, and product processing.

This position offers an exciting opportunity to contribute to the advancement of artificial intelligence and how it contributes to the mining and civil construction industries.

Responsibilities

• Data Annotation: Accurately annotate images to create high-quality training datasets. This includes tasks such as object detection, segmentation, and classification.
• Data Validation: Undertaking final validation of labelled datasets to maintain high quality and adjusting project-specific guides/instructions.
• Quality Assurance: Ensure the quality and consistency of annotated data by adhering to established guidelines and standards. Identify and rectify any errors or inconsistencies in the annotations.
• Data Preparation: Assist in preparing and correcting imagery and drill hole metadata to be uploaded to the Datarock Platform.
• Technical Evaluations: manage the organising and processing of Datarock general models and prepare proforma presentations for prospective clients.
• Process Improvement: Collaborate with the computer vision team to provide feedback on annotation processes and suggest improvements to enhance model performance.
• Communication: Maintain effective communication, both via online meetings and in-person, with team members, data scientists, and project managers to understand project requirements and deliver annotated data according to deadlines.
• Documentation: Assist in maintaining annotation procedures and guidelines for reference by the wider annotation team, ensuring that annotation tasks are repeatable and scalable.
• Privacy and Security: Handle sensitive data responsibly, follow data privacy and security protocols, and maintain confidentiality as required.
  
  

Qualifications & Experience

• High attention to detail.
• Proficiency in computer usage and basic image editing tools.
• Experience using computer vision annotation tools.
• Familiarity with computer vision concepts and terminology is a plus.
• Exposure to the mining industry is a plus.
• The capacity to manage diverse responsibilities within project delivery.
  
  

Job Benefits

• Flexible work arrangements: Embrace personalised work schedules for improved work-life balance and overall well-being, including the option to work from one of Datarock’s offices in Melbourne, Adelaide, Hobart or Perth on a flexible or regular basis.
• Positive and inclusive team culture: Thrive in a diverse environment of experts from various domains, fostering learning and collaboration in the office or remote settings.
• Professional development: Unlock your potential through R&D activities, personal learning, contributing to publications, presenting internally and externally, and OSS contributions. Your growth journey starts here!
• Competitive salary: Your hard work is valued and rewarded fairly, motivating you to excel in your career.
• Work-from-home allowances: Datarock provides allowances to establish or upgrade your work-from-home setup so you can work safely and productively in your chosen environment.