At Blend, I annotate robotic manipulation videos and review models at L1, L2, and L3. I’ve completed 202 tasks since joining, applying project guidelines while working remotely and independently.
Through DataLens Training Projects, I reviewed AI- and LLM-generated responses against defined criteria and judged search results for relevance. I also annotated image, text, and audio data in Label Studio, including classification, object detection, bounding boxes, segmentation, named entity recognition, sentiment, and transcription.
Before moving into annotation, I taught Mathematics from JSS1 to SSS3 at three private schools and prepared students for WAEC and NECO. I assessed their work against set standards, an approach I also bring to annotation quality checks and guideline adherence.
