Donna R.

Key Skills

Software

No software listed

Top Subject Matter

English language and literature (text tone/nuance/meaning)

English language & literature text evaluation

Top Data Types

No data types listed

Top Task Types

Bounding Box

Question Answering

Text Summarization

Transcription

Evaluation/Rating

Data Collection

Freelancer Overview

AI training and language annotation (language evaluation). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, N, and A. Education includes Master of Arts, Mahatma Gandhi University (2019) and Bachelor of Arts, Mahatma Gandhi University (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

English teacher (language evaluation with annotation-aligned assessment)

Text

Performed ongoing evaluation of student written responses that aligned with language data assessment practices relevant to AI training and annotation. Focused on rating and feedback for clarity, accuracy, and depth to support structured interpretation of language. Leveraged expertise in textual analysis and inference to ensure consistent language evaluation standards. • Assessing written text for quality dimensions such as clarity, accuracy, and depth. • Guiding textual analysis and inference that mirror annotation decision-making. • Providing feedback aligned with consistent language interpretation criteria. • Applying attention to detail to improve reliability of evaluations.

2019 - Present

AI training and language annotation (language evaluation)

OtherText

Provided language annotation and AI training support grounded in English language and literature expertise, with an emphasis on consistent, high-quality evaluation of language data. Applied skills in analyzing tone, nuance, and meaning to inform labeling quality and reliability. Supported creation of precise language assessments for AI training workflows. • Annotating and evaluating text and language tasks based on linguistic and contextual cues. • Using academic writing and critical interpretation to guide label consistency. • Reviewing language data for clarity, accuracy, and depth of meaning. • Following AI training workflows and annotation guidelines.

2014 - 2019

Education

Work History