Computer Vision Annotator

About Twine

We're a thriving ecosystem of top-tier freelancers from around the world. Trusted by Fortune 500 companies and Silicon Valley startups, Twine is the go-to platform for mission-critical projects. With over half a million registered freelancers and a growing roster of 35,000+ companies, we've become the comprehensive solution for freelancing.

Our Mission

At Twine, we recognise that companies require a flexible approach to hiring expert freelancers for their most critical projects. Traditional freelance platforms often fall short when it comes to scalability and diversity. That's where we shine. Twine operates as a thriving global freelance network, with diverse experts across various fields, including marketing, engineering, and AI. Our core mission is to empower creators, whether they're businesses or individual freelancers, to thrive in their creative endeavours.

About the Role

Twine AI is seeking an experienced Computer Vision Annotator to assist with a Proof of Concept (PoC) project involving ball tracking using CVAT and custom annotation tools. This role requires a fast start and is ideal for someone with prior experience in vision annotation tasks, particularly in tracking objects in motion. The project will involve annotating visual data for an AI training system.

Responsibilities:

• Perform annotation tasks using CVAT and custom tools provided by the client
• Work primarily on ball tracking tasks (bounding boxes, object detection, segmentation)
• Ensure accurate and consistent annotations, following project guidelines
• Collaborate with the team to address any adjustments in the annotation process
• Report progress to the project manager and meet deadlines for deliverables

Requirements

• Proven experience in computer vision annotation (bounding boxes, segmentation, etc.)
• Familiarity with CVAT (Computer Vision Annotation Tool) is essential
• Experience with custom annotation tools is a plus
• Ability to work efficiently and meet deadlines for a time-sensitive project
• Attention to detail and high accuracy in annotation tasks
• Strong communication skills

Desirable:

• Experience with sports data or ball tracking is a bonus
• Knowledge of working on fast-paced projects or PoC setups

Application Process:

Please apply via Twine, with examples of previous work particularly in computer vision projects. We will be reviewing candidates immediately, and the selected annotator will be expected to start this coming week. Rates and experience will be considered in the selection process.