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Francis N.

Francis N.

Freelance AI Response Evaluator, TELUS Digital AI (2021–Present)

USA flagN/A, Usa

Key Skills

Software

TelusTelus
Other

Top Subject Matter

AI response quality evaluation and prompt/response review
Academic writing/presentation evaluation and rubric-based feedback
Instructional content quality review and educational knowledge base refinement

Top Data Types

TextText
DocumentDocument

Top Task Types

Data CollectionData Collection

Freelancer Overview

Freelance AI Response Evaluator, TELUS Digital AI (2021–Present). Brings 17+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus, N, and A. Education includes Master of Arts, University of Southern California (2013) and Bachelor of Arts, University of California, Los Angeles (2010). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Telus

Freelance AI Response Evaluator, TELUS Digital AI (2021–Present)

TelusTelusTextText

Freelance AI response evaluation focused on reviewing AI and search outputs for relevance, accuracy, helpfulness, language quality, safety, and adherence to task instructions. Work included comparing multiple model responses and selecting the best response while documenting concise reasoning to support training-data refinement. The evaluator also flagged recurring issues such as unsupported claims, missed instructions, formatting errors, and inconsistent reasoning patterns across batches. • Evaluated 2,800+ AI/search outputs for guideline compliance and quality • Performed response-to-instruction alignment checks and inconsistency detection • Provided written selection rationales to improve feedback usefulness • Maintained 94%+ quality scores under changing guidelines and deadlines

2021 - Present

Adjunct Instructor (Communication Studies), San Diego Community College District (2016–2021)

TextText

Adjunct instructor duties included rubric-based evaluation of student communication work, with detailed scoring and written feedback to assess clarity, evidence-based reasoning, and professional communication. The role required interpreting assignment instructions and applying consistent rubrics across diverse submissions in both in-person and online formats. While not traditional AI labeling, the structured scoring and feedback creation paralleled quality evaluation practices. • Evaluated 3,500+ presentations, essays, discussion posts, and reflections using rubrics • Provided written feedback aligned to criteria such as tone, clarity, and reasoning • Managed instruction redesign and feedback cycles to improve outcomes • Coached students on structured explanations and evidence-based communication

2016 - 2021

Learning Content Specialist, Chegg (2013–2016)

OtherTextText

Learning content specialization involved reviewing academic explanations, study guides, and answer rationales for correctness, clarity, completeness, and learner usefulness. The work included editing instructional resources across multiple subjects and coordinating with other reviewers to standardize feedback language. This role emphasized repeatable quality control and issue categorization in a high-volume review queue. • Reviewed learning content and answer rationales for accuracy and clarity • Edited 1,100+ instructional resources across writing and social science subjects • Standardized reviewer feedback language to reduce inconsistent guidance • Improved approval turnaround by 21% using checklists and organized review notes

2013 - 2016

Research and Evaluation Coordinator, UCLA Extension (2010–2013)

TextTextData CollectionData Collection

Research and evaluation coordination included collecting, organizing, and reviewing learner feedback, survey data, assessment results, and instructional materials for program evaluation. The role required analyzing 2,000+ qualitative comments to identify recurring themes, learner concerns, and instructional gaps. The coordinator produced structured written summaries and slide-ready findings while maintaining consistent records and research protocols. • Collected and reviewed learner feedback, survey results, and instructional materials • Analyzed 2,000+ qualitative comments for themes and gaps • Produced synthesis summaries and recommendation-focused deliverables • Followed protocols to ensure consistency, confidentiality, and dependable reporting

2010 - 2013

Education

U

University of Southern California

Master of Arts, Communication Management

Master of Arts
2013 - 2013
U

University of California, Los Angeles

Bachelor of Arts, Communication

Bachelor of Arts
2010 - 2010

Work History

T

Telus Digital Ai

AI Response Quality Evaluator

N/A
2021 - Present
S

San Diego Community College District

Adjunct Instructor, Communication Studies

N/A
2016 - 2021