CU Docci project
image annotation project focusing on professional computer desktop, which involves bounding boxes and dense description,i got approved by the manager and get high feedback
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i have worked on alignerr ai as a data labeler for about 1 year i have worked on many diffrent projects including domains such as coding,evalution the responses of diffrent models,image annotation and deals with github projects and train claude code with directed prompts
image annotation project focusing on professional computer desktop, which involves bounding boxes and dense description,i got approved by the manager and get high feedback
auditing the quality of agentic scenarios, Each scenario includes: A Scenario YAML (task spec + actions/tools + success conditions) A PASS trajectory (a strong model succeeds) A FAIL trajectory (a strong model fails) An Evaluator + Rubrics (the system that decided pass/fail) My job wasn't judge writing style. My job was verify that the scenario is: Fair (tests real task completion, not tricks) Grounded (world feedback is consistent and usable) Correctly evaluated (rubrics + evaluator match what happened),i gained rate after reviewing my tasks 4.8 out of 5
Bachelor of Science, Computer Science
Data Labeler