Machine Learning QA/Annotation Engineer

About the Company

Are you ready to build the future of supply chain At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining on-time, in full delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Role

We are seeking a meticulous and detail-oriented Data Annotator to join our team. In this role, you will play a crucial part in the success of our AI and machine learning initiatives by accurately labeling and categorizing large datasets. Your work will directly contribute to training and improving our machine learning models, ensuring the quality and integrity of the data used for AI development.

Responsibilities

• Review and annotate images with our Machine Learning and QA teams to measure and improve the performance of our image processing algorithms.
• Organize annotation results, and share reports and insights with the broader engineering and operations team.
• Build tools and techniques that support the outsourcing of our annotation process, including potentially building lightweight tests and tools.
• Grow into a broader QA/QC Engineer role, and/or potentially help us manage 3rd party resources and relationships. [depending on your individual interest and skills]

Qualifications

• BS in Computer Science/Engineering, Electrical Engineering, or equivalent experience.

Required Skills

• Strong understanding of statistics, and able to work with data.
• Familiarity with Python, including experience actively using standard test frameworks (e.g. pytest.)
• Excellent documentation, communication, and collaboration skills.

Preferred Skills

• 2+ years in quality assurance or product support.
• 1+ years experience with enterprise-grade ticketing systems (e.g. Jira.)
• Experience working with data annotation for Computer Vision/ML teams.
• Small team experience.

Pay range and compensation package

• Compensation package will include equity.
• Comprehensive health insurance.
• Very flexible schedule.
• Customized PTO.

Equal Opportunity Statement

If this sounds like a good fit we'd love to meet you. Come help us change the world!