Lise C.

Key Skills

Software

Other

Toloka

Top Subject Matter

NLP (text) annotation for AI model training

Computer vision dataset annotation for AI training

AI-ready data structuring for supervised learning

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Bounding Box

Classification

Freelancer Overview

AI Data Annotation & Quality Assurance Specialist (Remote | Contract-Based). Professional background includes roles such as AI and Data Systems Initiative Lead and Data Support and Policy Intelligence Assistant. Core strengths include Other. AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Bounding Box, and Classification.

Labeling Experience

AI Data Annotation & Quality Assurance Specialist (Remote | Contract-Based)

OtherImageBounding Box

Conducted image annotation to support supervised learning pipelines for computer vision models. Labeled visual elements using bounding boxes and classification tags while maintaining schema consistency. Performed quality assurance checks to ensure labeled outputs were accurate, consistent, and suitable for training. • Drew/assigned bounding boxes and image classification labels • Applied taxonomy and labeling schema consistency rules • Reviewed annotations for correctness and dataset consistency • Prepared clean, model-ready image training data

Present

AI Data Annotation & Quality Assurance Specialist (Remote | Contract-Based)

OtherTextEntity (NER) Classification

Performed NLP data labeling for supervised machine learning, including named entity recognition, sentiment tagging, and intent classification. Ensured consistent application of annotation guidelines and taxonomies across large-scale datasets to improve training quality. Validated dataset correctness, identifying inconsistencies and potential bias to support reliable model outcomes. • Labeled NER, sentiment, and intent classes per schema • Checked inter-annotator consistency and taxonomy alignment • Flagged inconsistencies, data integrity issues, and bias signals • Prepared model-ready, cleaned training data for downstream use

Present

Advanced Data Structuring for AI Systems (Data Preparation/Support)

OtherTextClassification

Performed data structuring and preparation work to support AI system training and supervised learning needs. Transformed raw data into structured formats aligned with model-ready input requirements. Supported dataset organization and usability improvements for subsequent labeling and training workflows. • Structured data into AI-compatible formats • Assisted with building classification frameworks • Supported preparation of simulation/decision-support datasets • Improved dataset readiness for ML model training

Not specified

Education

Work History