Aether Generalist
Spotting the difference between two different image sets.
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For the past year, I've specialised in RLHF data annotation projects, concentrating on fact verification, hallucination correction, and safety evaluation. My work spans comparative response ranking and fine-grained image analysis—essentially ensuring training data is reliable enough for high-stakes model development. I'm particularly proficient at identifying fabricated content in nuanced contexts, where the errors aren't obvious but could significantly impact model performance. My approach is methodical: I can navigate complex annotation guidelines whilst maintaining throughput, and I have a proven track record of spotting logical inconsistencies in both textual and visual inputs. I'm experienced at balancing speed with precision, and I understand the importance of consistency when contributing to datasets that directly influence AI behaviour. I'm seeking challenging annotation roles that require experienced judgement, particularly in safety critical or fact heavy domains where accuracy is non negotiable.
Spotting the difference between two different image sets.
Rating responses, fact checking information and providing suggestions for improvement.
Rating responses to prompts, correcting hallucinations, fact checking responses, picking a response that answers the prompt and giving suggestions for improvement.
Business Studies , Business
Bachelor of Arts with Honours, International Business
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