Emmanuel A.

Key Skills

Software

OneForma

Mindrift

Remotasks

Telus

Clickworker

Appen

Top Subject Matter

LLM response evaluation and AI training data labeling

Text dataset and prompt-response annotation quality review

Research variable coding and source validation for structured datasets

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Classification

Text Generation

Question Answering

Text Summarization

Object Detection

RLHF

Freelancer Overview

AI Data Labeling & AI Training Specialist - Remote Contract Projects. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other and Don't disclose. Education includes Master's Degree Program, N/A (2025) and Computer Science Coursework, Dallas College (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Teaching Assistant / Research Support Assistant - Data Science & Analytics Learning Support

OtherText

Acted as a teaching assistant providing learning support that included rubric-style review notes and evaluation of instruction following. Reviewed student-style work for correct logic, clean formatting, evidence quality, and clarity of final presentation. Supported learners with examples, practice datasets, and structured feedback aligned to assessment criteria. • Guided learners on Python, spreadsheet analysis, statistics, and data-cleaning logic • Prepared rubric-style review notes and evaluation checklists • Reviewed work for instruction following, formatting quality, and evidence quality • Provided clear explanations to support correct reasoning and analytical presentation

2025 - Present

AI Data Labeling & AI Training Specialist - Remote Contract Projects

OtherText

Served as an AI data labeling and AI training specialist for remote contract projects across major AI evaluation platforms. Labeled and evaluated prompt-response outputs for instruction following, factuality, relevance, completeness, tone, safety, and usefulness using guideline-based criteria. Performed pairwise model comparisons and preference ratings, including detailed issue tagging to support model improvement and reviewer audits. • LLM response ranking via pairwise comparisons and preference ratings • Rubric-based scoring for instruction following, factuality, relevance, safety, and tone • Hallucination, unsupported-claim, formatting-failure, and policy-concern detection • Short evidence-based justifications and edge-case review for training feedback loops

2023 - Present

Research Data Assistant - Academic / Applied Research Support

OtherTextData Collection

Provided research data assistant support involving validation and labeling of research variables and sources. Screened and reviewed source materials for relevance and credibility while flagging unclear or unsupported information. Created data dictionaries, labeled variables, and checked entries against documents to prepare structured research summaries. • Screened sources for relevance, credibility, and alignment to project questions • Labeled variables and created data dictionaries for structured research data • Validated entries against source documents and tracked citations • Produced plain-language research summaries with caveats and terminology accuracy

2024 - 2025

Data Operations & Administrative QA Assistant - Remote / Administrative Data Support

OtherTextData Collection

Assisted with data operations and administrative QA focused on entering, reviewing, organizing, and validating records with high attention to completeness and field accuracy. Detected duplicates, incomplete records, wrong categories, and inconsistent formats, then corrected routine issues or escalated uncertain cases. Maintained weekly trackers and improved templates to support cleaner reporting and faster QA cycles. • Reviewed records for completeness, naming consistency, and correct field structure • Corrected routine annotation/recording issues and escalated ambiguous cases • Improved templates and maintained trackers to enhance data quality • Ensured consistent categorization and formatting across datasets

2022 - 2024

AI Data Quality Analyst & Annotation Reviewer - Independent Remote Work

Don't discloseText

Worked as an AI data quality analyst and annotation reviewer performing remote, independent reviews of text-based AI outputs. Applied task guidelines to classify content, validate label quality, and flag uncertain or ambiguous examples for escalation. Supported AI model benchmarking by documenting repeated failure patterns and maintaining confidential, high-accuracy reviewer workflows. • Reviewed datasets including prompt responses and structured outputs for accuracy and consistency • Performed guideline-based classification and label-quality validation • Flagged uncertain cases and escalated ambiguous items for further review • Documented recurring failure modes (vague answers, unsupported reasoning, instruction misses)

2022 - 2023

Education

Work History