Cecilia M.

Key Skills

Software

Playment

Prodigy

Redbrick AI

Roboflow

Sama

Sloth

Snorkel AI

Supervisely

Tagtog

Trilldata Technologies

V7 Labs

VoTT

Scale AI

OpenCV AI Kit (OAK)

Mighty AI

Lionbridge

Figure Eight

HiveMind

Humanatic

LightTag

Hasty

Encord

Mercor

OneForma

Remotasks

iMerit

Mindrift

Top Subject Matter

Social Development Project Data

Humanitarian Field Documentation & Reports

Student Written Content (Educational Domain)

Top Data Types

Text

Audio

Document

Top Task Types

Data Collection

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Object Detection

Point/Key Point

Text Generation

Text Summarization

RLHF

Freelancer Overview

Research Data Reviewer & Evaluator. Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Science, Lilongwe University of Agriculture and Natural Resources (ODL) (2022) and Diploma, Lilongwe University of Agriculture and Natural Resources (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Research Data Reviewer & Evaluator

Text

Reviewed and evaluated large volumes of qualitative and quantitative text data following structured project and annotation guidelines. Identified, flagged, and documented errors and inconsistencies in the data, ensuring completeness and quality for AI-driven outputs. Produced written explanations and recommended corrections for each issue, closely mirroring RLHF and feedback-oriented tasks. • Consistent application of detailed evaluation criteria across high-volume, repetitive review tasks. • Detected omissions, errors, and inconsistencies required for AI content labeling workflows. • Maintained high accuracy and written clarity under tight deadlines. • Documented corrective suggestions simulating feedback in AI annotation tasks.

2025 - 2025

Data Validator & Content Reviewer

Text

Systematically reviewed and cross-checked field documentation and structured reports to validate data accuracy, consistency, and completeness for training datasets. Edited, rewrote, and improved inaccurate content aligning it with project annotation guidelines, which is directly applicable to text labeling and content evaluation. Applied annotation-like evaluation processes to large volumes of project data sustained over years. • Flagged and corrected missing or contradictory information in forms. • Maintained consistency of evaluation style essential for labeling workflows. • Focused on grammatical accuracy, clarity, and structural quality. • Developed feedback skills used in AI content verification and annotation.

2019 - 2022

Written Content Reviewer & Editor

Text

Reviewed, annotated, and provided structured written feedback on large volumes of student-written text, evaluating grammar, clarity, and accuracy for use in AI training or labeling tasks. Consistently applied standard rubrics and annotation guidelines across hundreds of submissions, maintaining reliability and fairness essential for data validation. Rewrote, edited, and improved unclear text to model correct responses for use in AI-related text improvement roles. • Performed rubric-based assessments mirroring data labeling consistency standards. • Served as a reference for grammar and content correctness in annotation. • Annotated feedback and corrections for diverse text types. • Enhanced quality and clarity of labeled training data for education-focused AI.

2019 - 2020

Education

Work History