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Abdurrahman Abdulsalam

Abdurrahman Abdulsalam

AI Data Labeling Contributor – Video Labeling

Nigeria flagN/A, Nigeria
$7.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Computer Vision
LLMs & Generative AI
Natural Language Processing

Top Data Types

VideoVideo
ImageImage
TextText

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
RLHFRLHF

Freelancer Overview

AI Data Labeling Contributor – Video Labeling. Brings 1 year of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Ilorin (2025). AI-training focus includes data types such as Video, Image, and Text and labeling workflows including Classification and Bounding Box.

IntermediateEnglishYoruba

Labeling Experience

AI Data Labeling Contributor – Text Classification

OtherTextClassification
I executed text classification tasks for sentiment analysis, intent tagging, spam detection, and content quality rating as part of NLP training pipelines. Each task required careful application of annotation rules and consistent judgment per project standards. My work supported ongoing improvement of AI natural language understanding. • Labeled text for sentiment, intent, and spam categories • Classified messaging content quality for NLP training datasets • Applied annotation guidelines for consistent judgment across samples • Maintained above-threshold accuracy and advanced tier status

I executed text classification tasks for sentiment analysis, intent tagging, spam detection, and content quality rating as part of NLP training pipelines. Each task required careful application of annotation rules and consistent judgment per project standards. My work supported ongoing improvement of AI natural language understanding. • Labeled text for sentiment, intent, and spam categories • Classified messaging content quality for NLP training datasets • Applied annotation guidelines for consistent judgment across samples • Maintained above-threshold accuracy and advanced tier status

2025 - Present

AI Data Labeling Contributor – Image Annotation

OtherImageBounding Box
I specialized in image annotation using bounding boxes and object tagging to support diverse computer vision applications. My tasks required scene classification across a wide range of visual categories for AI and robotics projects. Consistency, precision, and adherence to strict annotation protocols were maintained throughout. • Drew bounding boxes and tagged objects in static images • Classified scenes for use in AI computer vision modeling • Followed multi-label annotation and quality standards precisely • Ensured low error rates and reliable labeling outputs

I specialized in image annotation using bounding boxes and object tagging to support diverse computer vision applications. My tasks required scene classification across a wide range of visual categories for AI and robotics projects. Consistency, precision, and adherence to strict annotation protocols were maintained throughout. • Drew bounding boxes and tagged objects in static images • Classified scenes for use in AI computer vision modeling • Followed multi-label annotation and quality standards precisely • Ensured low error rates and reliable labeling outputs

2025 - Present

AI Data Labeling Contributor – Video Labeling

OtherVideoClassification
As an AI Data Labeling Contributor at Atlas Capture, I conducted detailed video labeling on real-world activity datasets for computer vision and robotics model development. I ensured high-accuracy labeling output across complex scenes following structured guidance. My work consistently met or exceeded advanced tier quality thresholds and covered diverse visual domains. • Performed video activity classification and labeling for robotics training purposes • Maintained high accuracy in multi-label video classification tasks • Applied structured annotation guidelines in computer vision workflows • Used platform metrics to qualify for advanced labeling tasks

As an AI Data Labeling Contributor at Atlas Capture, I conducted detailed video labeling on real-world activity datasets for computer vision and robotics model development. I ensured high-accuracy labeling output across complex scenes following structured guidance. My work consistently met or exceeded advanced tier quality thresholds and covered diverse visual domains. • Performed video activity classification and labeling for robotics training purposes • Maintained high accuracy in multi-label video classification tasks • Applied structured annotation guidelines in computer vision workflows • Used platform metrics to qualify for advanced labeling tasks

2025 - Present

Education

U

University of Ilorin

Bachelor of Science, Information and Communication Science

Bachelor of Science
2020 - 2025

Work History

F

Freelance, Upwork

Frontend Developer

N/A
2022 - Present
E

Encentrals Solutions

Frontend Developer

Abuja
2024 - 2025