3 gcp data engineer jobs found in Edinburgh

Location: Remote (must have access to a physical Mac) Fluent Language Skills Required: English Why This Role Exists Supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments. What You’ll Do Depending on the task phase, you may be asked to complete one or both of the following: Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements Follow provided staging...

Location: Remote (must have access to a physical Mac) Fluent Language Skills Required: English Why This Role Exists Supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments. What You’ll Do Depending on the task phase, you may be asked to complete one or both of the following: Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements Follow provided staging...

Location: Remote (must have access to a physical Mac) Fluent Language Skills Required: English Why This Role Exists Supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments. What You’ll Do Depending on the task phase, you may be asked to complete one or both of the following: Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements Follow provided staging...