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Appen
Clickworker
Mercor
Mindrift
OneForma
Toloka
Telus
CloudFactory
Label Studio
CVAT
Data Annotation Tech
Text
Audio
Document
Classification
Transcription
Bounding Box
Polygon
Segmentation
Entity (NER) Classification
Point/Key Point
Object Detection
Text Generation
Question Answering
Text Summarization
Fine-tuning
Evaluation/Rating
Computer Programming/Coding
Data Collection
Prompt + Response Writing (SFT)
RLHF
Function CallingData Annotator/Labeller. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI and Other. Education includes National Certificate Vocational, Maluti TVET College Lere La Tshepe Campus (2023). AI-training focus includes data types such as Text and Audio and labeling workflows including Classification and Transcription.
TextPrompt + Response Writing (SFT)spotting AI-generated images. Also looking at each image and the prompt it came from, mark the spots that give it away as AI, and briefly describe each. Comparing two AI-generated artifacts side by side, recording myself interacting with a data visualization on a third-party web page, then tagging each interaction against the playback. The tags here are normally the deliverables.
AudioTranscriptionAs a Transcriber at Way With Words SA, I transcribed and recorded over 50 hours of audio data for AI research projects. My transcription work aimed for data accuracy to support high-quality machine learning datasets. I ensured consistency and precision in all audio documentation. • Transcribed spoken audio files into structured text format. • Maintained a 98% accuracy rate throughout all assignments. • Supported AI training and machine learning research. • Recorded and reviewed audio segments to guarantee integrity.
Scale AITextClassificationAs a Data Annotator/Labeller at Scale Labs AI, I labeled and categorized over 10,000 text data points, contributing to the accuracy and performance of large language models. My work directly influenced the training and refinement of LLMs such as Gemini and Deepseek. I provided targeted feedback on AI-generated responses to iteratively enhance output quality. • Annotated and classified diverse text datasets for machine learning training. • Delivered extensive feedback on AI model responses each week. • Collaborated with a global, remote annotation team. • Supported the launch of advanced language models through refined data labeling.
National Certificate Vocational, Information Technology
Administration Intern
Transcriber
