Hilda M.

Key Skills

Software

Appen

Remotasks

Scale AI

Labelbox

Top Subject Matter

STEM and general multimodal AI content evaluation

Conversational AI and multimodal safety/factuality evaluation

University-level mathematics modeling and research data preparation

Top Data Types

Image

Video

Text

Document

Top Task Types

RLHF

Data Collection

Bounding Box

Polygon

Segmentation

Classification

Object Detection

Entity (NER) Classification

Freelancer Overview

AI Data Annotator (Freelance / Remote) — Multiple Platforms. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Remotasks, and DataAnnotation Tech. Education includes Bachelor of Science, University of Nairobi (2019) and Certificate, Google / Coursera (2020). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Content Reviewer / Evaluator (Freelance / Remote) — Scale AI & Independent Contracts

Scale AIImageRLHF

Freelance remote content reviewer and evaluator for conversational and vision-related AI outputs using structured safety and factuality scoring. Assessed model performance using multidimensional rubrics and provided detailed feedback to support iterative RLHF improvements. Identified hallucinations, inconsistencies, errors, and bias within LLM outputs across varied prompts.• Reviewed and rated AI-generated visual and textual responses for safety, factuality, and instruction-following • Scored helpfulness, harmlessness, and honesty using multi-dimensional systems • Detected hallucinations, errors, and bias across a range of prompt types • Supplied structured feedback to model trainers; evaluated 500+ responses weekly within SLAs

2024 - Present

AI Data Annotator (Freelance / Remote) — Multiple Platforms

AppenImage

Freelance remote annotator across multiple AI training platforms, focusing on labeling and rating multimodal datasets using detailed rubrics. Performed quality assurance by following annotation guidelines to maintain consistency, reproducibility, and data integrity across large-scale pipelines. Flagged biased, incorrect, or low-quality model outputs for review and supported asynchronous alignment with QA teams.• Annotated and labeled 10,000+ image, video, and text examples for model training across diverse domains • Evaluated outputs for accuracy, relevance, coherence, and overall quality against defined standards • Maintained 95%+ quality scores while sustaining productivity in independent work • Resolved annotation ambiguities and edge cases with remote QA teams

2024 - Present

Research & Data Assistant (Academic Project) — University of Nairobi

DocumentData Collection

Academic research and data assistant work focused on preparing datasets for a university mathematics modeling project. Collected, cleaned, organized, and documented research data, then supported analysis and reporting for academic review. The role emphasized data integrity and structured documentation rather than model labeling tasks.• Collected, cleaned, and organized datasets for a mathematics modeling project • Performed statistical analysis and data visualization using spreadsheet tools • Documented findings and prepared structured reports for academic review • Applied mathematical modeling techniques to real-world datasets as part of coursework

2020 - 2023

N/A - N/A

LabelboxTextBounding BoxPolygon

Placeholder entry because non-AI/data-labeling roles were not found in the provided resume text. This record should be ignored by downstream systems.

Not specified

Education

Work History