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Mercor
Mighty AI
Mindrift
OneForma
Scale AI
Surge AI
Toloka
Telus
Appen
Clickworker
Data Annotation Tech
Hasty
Labelbox
Prodigy
Remotasks
Snorkel AI
Image
Text
Audio
Bounding Box
Classification
Segmentation
Polygon
Object Detection
Text Generation
Question Answering
Text Summarization
RLHF
Fine-tuning
Evaluation/Rating
Prompt + Response Writing (SFT)
TranscriptionI'm a data annotation and labeling specialist with hands-on experience tagging, categorizing, and ranking large volumes of content for AI training and evaluation. I currently work across two AI data platforms, where I label and classify model outputs, perform element-level annotation, author prompts, and apply detailed, frequently updated guidelines while sustaining strong accuracy and throughput on high-volume batches. My background pairs native-level English with a foundation in computer science, mathematics, and applied research, which helps me make consistent, guideline-driven judgments and resolve ambiguous edge cases. I'm comfortable with text classification, content review, rubric application, RLHF-style feedback, and writing clear justifications for every label so reviewers can calibrate against my work.
TextEvaluation/RatingEvaluated how well language models reason, write, and follow instructions. Rated and ranked content against defined relevancy and quality scales, applied strict guidelines to judge whether outputs met criteria, and flagged ambiguous items for review — sustaining accuracy and throughput across large queues using rubric-based scoring and calibration against reference examples.
TextRLHFGenerated human-preference data to improve model reasoning and response quality. Rated and ranked multiple model outputs per prompt, authored prompts to elicit responses, and wrote structured justifications for each ranking to guide training and reviewer calibration. Worked through high-volume batches on rolling turnarounds with strict adherence to evolving guidelines and calibration checks for high inter-annotator agreement.
VideoObject DetectionAnnotated video clips by labeling and tracking objects across frames, maintaining consistent object IDs and bounding regions through occlusion and scene changes. Followed frame-level guidelines and applied temporal-consistency checks to keep annotations coherent across full sequences, working through high volumes while meeting accuracy targets.
ImageSegmentationPerformed pixel- and region-level image annotation, segmenting and classifying objects against defined taxonomies. Applied detailed, frequently updated guidelines, flagged edge cases for review, and maintained high accuracy and throughput across large task queues.
ImageBounding BoxAnnotated images by drawing bounding boxes around target objects according to project taxonomies, ensuring tight, accurate boxes and correct class labels. Reviewed and corrected pre-labeled data, handled occluded and ambiguous objects per guidelines, and sustained accuracy across high-volume batches under defined quality thresholds.
Masters of Science, Computer Science
Bachelors of Science, Mathematics & Statistics
Data Analyst
Market Research Analyst
