Cyrus M.

Key Skills

Software

Telus

Clickworker

Appen

CrowdSource

Data Annotation Tech

iMerit

Img Lab

Mercor

Micro1

Mindrift

OneForma

Remotasks

SuperAnnotate

Top Subject Matter

AI-generated content evaluation for NLP and computer vision model development

Structured dataset preparation for AI/ML pipelines

Machine learning dataset labeling and validation

Top Data Types

Text

Image

Video

Top Task Types

Data Collection

Classification

Bounding Box

Segmentation

Object Detection

Transcription

Computer Programming/Coding

Prompt + Response Writing (SFT)

Text Generation

Question Answering

Text Summarization

Function Calling

Freelancer Overview

AI Data Rater (Telus International AI). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus, Internal, and Proprietary Tooling. Education includes Bachelor of Science, University of Nairobi (2022) and Kenya Certificate of Secondary Education, Kangema High School (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Data Labeler (Atlas Capture)

TextClassification

Labeled and annotated diverse datasets to support machine learning model training and validation. Ensured data quality and consistency by adhering to strict annotation guidelines and quality assurance protocols. Coordinated with cross-functional teams to meet project deadlines and data volume targets. • Applied labeling instructions across assigned dataset batches • Performed quality checks to maintain consistency with annotation standards • Worked with teams to track progress and meet delivery schedules • Met or contributed toward data volume targets for model readiness

2025 - Present

AI Data Rater (Telus International AI)

TelusText

Evaluated and rated AI-generated content to improve model accuracy and relevance for downstream machine learning tasks. Performed annotation and collection activities supporting NLP and computer vision development workflows. Ensured consistent quality by maintaining high accuracy and meeting daily throughput expectations for assigned work queues. • Reviewed AI outputs for correctness, relevance, and guideline compliance • Applied dataset labeling/annotation tasks aligned to project requirements • Tracked and met daily throughput targets while maintaining accuracy • Contributed to iterative model improvement through rated feedback

2024 - Present

Data Contributor (TransPerfect)

TextData Collection

Collected, processed, and uploaded structured datasets into internal systems to support AI/ML pipelines and model training. Followed precise data contribution protocols to preserve data integrity and usability for labeling consumers. Ensured the contributed data met required standards for downstream ingestion and evaluation. • Collected and prepared structured data for internal platform upload • Processed records to comply with dataset formatting and integrity rules • Uploaded datasets to internal systems supporting AI/ML workflows • Ensured contributions matched specified documentation and quality requirements

2024 - 2024

Education

Work History