Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdSource

Data Annotation Tech

Lionbridge

Remotasks

Toloka

Telus

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Geospatial Tiled Imagery

Top Task Types

Classification

Mapping

Object Detection

Text Generation

Translation Localization

Freelancer Overview

I specialize in designing and operationalizing high-quality training data pipelines for machine learning: creating clear annotation schemas and example-driven labeling guidelines, building gold-standard test sets, and establishing QA workflows (gold tasks, blind re-labels, consensus rules) to keep label noise low. I support a wide range of annotation types — bounding boxes, polygons and instance/panoptic segmentation, keypoints, OCR/transcription and speaker diarization, NER and relation extraction, intent/slot labeling, and multimodal alignment — and I’m fluent in practical metrics and tooling (IoU, mAP, F1, Cohen’s κ; integrations with platforms like CVAT/Labelbox/Supervisely/Scale).

Labeling Experience

Education

Work History