Rickson M.

Key Skills

Software

Other

Top Subject Matter

Retail products

consumer goods

and AI output quality for product/content evaluation

Top Data Types

Text

Audio

Image

Top Task Types

Classification

Transcription

Freelancer Overview

AI Output Evaluation & Rating / Product Content Evaluation. Core strengths include Other. Education includes Bachelor of Science, N/A (2024). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotation & Evaluation (Audio)

OtherAudioTranscription

Contributed to multimodal data work by annotating and evaluating audio-related content as part of AI training/evaluation needs. Assessed content trustworthiness and relevance for quality assurance purposes. Ensured outputs aligned with expected evaluation criteria for the task. • Reviewed audio content for quality and suitability • Supported evaluation for trustworthiness and relevance • Performed consistency checks during QA • Assisted with annotation requirements for audio data

2024 - 2024

Data Annotation & Labeling (Text)

OtherTextClassification

Performed data annotation for text-based inputs including product descriptions and other content used for AI training/evaluation. Labeled and verified information to ensure accuracy and consistency with consumer behavior and product relevance. Used online research and verification to corroborate details where needed. • Applied labeling guidelines for product/content accuracy • Checked for missing, incorrect, or conflicting details • Ensured outputs met retail standard criteria • Used research to support annotation correctness

2024 - 2024

AI Output Evaluation & Rating / Product Content Evaluation

OtherText

Conducted AI output evaluation and rating to assess response quality, relevance, and correctness for consumer-product contexts. Reviewed product content to identify inaccuracies, misleading information, and inconsistencies against retail standards. Performed pairwise comparisons and ranking to determine which outputs were preferable for the task requirements. • Evaluated clarity, accuracy, and alignment with retailer expectations • Assessed customer-focused content relevance • Flagged erroneous or non-aligned product descriptions • Supported quality assurance through systematic checks

2024 - 2024

Education

Work History