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Martin C.

Martin C.

AI Data Annotator (Freelance / Remote)

USA flagTempe, Usa

Key Skills

Software

MercorMercor
MindriftMindrift
OneFormaOneForma
Snorkel AISnorkel AI
SuperAnnotateSuperAnnotate
TelusTelus
Other
RemotasksRemotasks
ClickworkerClickworker
AppenAppen

Top Subject Matter

STEM (Biology, Technology, Mathematics)
AI content evaluation (visual and textual outputs)

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection

Freelancer Overview

AI Data Annotator (Freelance / Remote). Core strengths include N and A. Education includes Bachelor of Science, University of California. AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Content Reviewer / Evaluator

ImageImage

Reviewed and rated AI-generated visual and textual outputs using predefined scoring systems. Assessed model performance by detecting inconsistencies, errors, and potential bias in the generated content. Delivered structured feedback intended to improve subsequent AI training results. • Applied scoring systems to evaluate accuracy and quality • Detected inconsistencies, errors, and bias indicators in outputs • Provided structured, actionable feedback for model improvement • Supported iterative training/evaluation through quality assurance checks

2024 - Present

AI Data Annotator (Freelance / Remote)

ImageImage

Annotated and labeled image, video, and text datasets to support AI training workflows. Evaluated AI-generated content for accuracy, relevance, and overall quality while applying detailed annotation guidelines to keep outputs consistent. Flagged low-quality, incorrect, or inconsistent results for review and maintained data integrity across tasks. • Reviewed multimodal outputs (images, video clips, and text) against guideline criteria • Applied scoring and consistency checks to reduce annotation variance • Identified errors, low-quality artifacts, and guideline deviations • Maintained high productivity and accuracy while working independently on structured assignments

2024 - Present

Education

U

University of California

Bachelor of Science, Computer Science

Bachelor of Science
Not specified

Work History

R

Remote

AI Data Annotator

Tempe
2024 - Present
R

remote

AI Content Reviewer / Evaluator

Tempe
2004 - Present