Data Labeling Jobs

This engagement centres on a clear goal: enhancing our customer experience by leveraging sentiment analysis across both structured and unstructured data. I need a succinct, expert-level assessment that tells me whether the idea, data, and technical pathway are sound before full development begins. Scope • Examine the data landscape. Our customer records live in databases and spreadsheets, while social posts, emails, and support transcripts come in free-text and image form. Detail what must be cleaned, labelled, or augmented so sentiment signals are reliable. • Recommend the modelling approach. Contrast rule-based, classical ML, and modern transformer techniques, then justify the best fit for accuracy, latency, and cost at our scale. • Outline an implementation roadmap...

I have a sizeable batch of raw photographs that must be turned into a clean, AI-ready image-classification dataset. Every file simply needs a single or multi-label tag that tells my model whether it contains Vehicles, People, or both. No bounding boxes or pixel-perfect masks are required—just accurate whole-image labels. You’ll work in the annotation tool of your choice (LabelImg, CVAT, VoTT, Roboflow, etc.) as long as the final export is compatible with standard machine-learning pipelines. A comma-separated CSV or JSON with filename-to-label mapping is perfect. Selected classes • Vehicles • People Deliverables • Completed project file or export (CSV/JSON) listing each image and its assigned class(es) • The original images left unaltered in thei...