Tim L.

Key Skills

Software

Don't disclose

Telus

Other

Top Subject Matter

Machine learning dataset annotation

Web content evaluation and quality assurance

LLM response quality and alignment through tutoring and annotations

Top Data Types

Text

Top Task Types

Data Collection

RLHF

Freelancer Overview

Data Annotator — Data Annotation. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Telus, and Internal. Education includes Bachelor of Science, Texas A&M University (2016). AI-training focus includes data types such as Text and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

AI Tutor — xAI

TextRLHF

Served as an AI tutor and reviewed content for quality and accuracy while contributing to systems that shape model behavior. Participated in annotation-oriented efforts including preference and rules-based components to improve responses and alignment. • Reviewed and assessed generated or provided content for quality and correctness • Contributed to preference and rules-based annotation systems • Supported annotation activities tied to RLHF-style model improvement • Worked on live key systems to ensure alignment with organizational goals

2025 - 2025

Web Content Rater — Telus International

TelusText

Evaluated digital web content to assess quality, relevance, and adherence to guidelines. Provided actionable feedback intended to improve algorithmic performance and evaluation processes. • Performed comprehensive content evaluations against established criteria • Delivered feedback to support improvements in ranking/quality behavior • Monitored and adapted to evolving evaluation guidelines • Focused on identifying emerging challenges in content rating

2024 - 2025

Data Annotator — Data Annotation

Don't discloseTextData Collection

Tagged and labeled datasets used for machine learning and AI training while following project guidelines. Maintained accuracy and consistency across annotation tasks for multiple datasets. • Ensured label correctness and consistency across annotation batches • Followed and contributed to guideline refinement with the team • Coordinated on workflows to improve labeling efficiency • Performed quality checks to reduce annotation errors

2024 - 2024

Search Engine Evaluator — Rater Labs

OtherText

Conducted long-term assessments of online content and search results using established guidelines. Rated and analyzed content relevance and quality to improve search engine performance and user experience. • Evaluated search results and online content against rubric criteria • Analyzed relevance signals to determine quality and ranking outcomes • Maintained quality and productivity benchmarks across repeated tasks • Provided consistent ratings to support continuous search quality improvement

2014 - 2024

Education

Work History