Jeneam Shelea L.

I help companies build reliable, high-quality datasets and research outputs. I bring 4+ years of experience in research and quality assurance, along with hands-on experience in multi-modal AI training data annotation — including image, audio, video, and text datasets. My background includes: AI Training Data Annotation—labeling and QA across image, audio, video, and text datasets for AI companies, from vehicle identification to voice/audio annotation to expert-level conversation review across domains like medicine, finance, and philosophy ESG Research & Data Analysis — evaluating corporate sustainability disclosures against structured frameworks (social impact, labor policies, supply chain standards) for client-facing reporting Quality Assurance & Process Improvement — auditing team deliverables for accuracy, flagging inconsistencies, and recommending workflow improvements Research, Lead Generation & Candidate Sourcing — supporting outreach campaigns and fair, bias-reduced candidate evaluation (CV blinding) I work independently in fast-paced remote environments with minimal supervision, and I bring strong attention to detail, clear written/verbal communication, and comfort handling ambiguous or evolving guidelines—critical for both AI training pipelines and research-heavy work. Available for remote, detail-oriented projects in data annotation, QA, and research. Let's talk about how I can support your project.