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Mercor
Remotasks
Appen
Text
Audio
Image
Classification
Transcription
Object Detection
Bounding Box
RLHF
Polyline
Cuboid
PolygonGeneralist Data Annotation Expert (LLM Evaluation & AI Training) — Mercor (Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor, Other, and Remotasks. Education includes Bachelor of Technology, Technical University of Kenya (2026). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Classification.
Video
SegmentationAs a video labeler, my task for this role is to help train AI on what the ego in a video is doing, all normal day-to-day hand interactions and actions, following specific rules to label correctly and up to standard. segmenting each action individually in an episode and labeling each individual hand action.
TextClassificationProduced and optimized multilingual NLP datasets to improve model accuracy and linguistic nuance across dialects. Conducted pairwise and qualitative evaluations of AI outputs to enhance response quality. Implemented structured data labeling and validation workflows aligned with AI training standards. • Built multilingual NLP datasets for dialect-aware performance • Performed pairwise comparison and qualitative AI output evaluation • Applied structured labeling and validation for training standards • Supported quality-focused dataset preparation for NLP models
MercorTextProvided LLM evaluation and AI training support by crafting and evaluating AI-generated responses. Applied structured ranking and correctness criteria to improve clarity, logic, and factual accuracy. Worked with QA teams to refine content standards and improve dataset quality for LLM pipelines. • Ranked AI outputs based on clarity, logic, and correctness • Improved factual accuracy and reasoning consistency (15%) • Reduced annotation errors in multimodal data (20%) • Coordinated guideline refinement with QA teams
RemotasksAudioTranscriptionAnnotated multilingual speech/transcription data to support NLP model performance. Labeled datasets for speech recognition and computer vision tasks following strict guidelines. Maintained high labeling accuracy while contributing to AI training datasets. • Transcribed and annotated multilingual audio data • Labeled datasets for computer vision and speech recognition • Followed strict annotation guidelines for consistency • Focused on high-accuracy transcription/annotation
AppenTextClassificationLabeled text datasets for sentiment analysis and intent classification to support AI training. Ensured consistency and adherence to linguistic and annotation standards during large-scale projects. Contributed to multiple AI training datasets across varied tasks. • Annotated text for sentiment and intent classification • Maintained labeling consistency with linguistic standards • Contributed to large-scale AI training datasets • Supported multi-project annotation work
Bachelor of Technology, Chemical Engineering
Machine Learning and NLP Data Developer
Data Analyst
