Benjamin Rahim

Key Skills

Software

Appen

Other

Scale AI

Toloka

Top Subject Matter

Natural Language Processing

Speech Recognition AI

Geospatial and Visual AI

Top Data Types

Text

Audio

Image

Document

Top Task Types

Classification

Transcription

Data Collection

Freelancer Overview

Data Annotation Specialist. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier AI, Appen, and Other. Education includes Bachelor of Science, Redeemer’s University (2020). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Classification, Transcription, and Data Collection.

Labeling Experience

Data Annotator (Atlas Capture)

OtherImageData Collection

In my current role with Atlas Capture, I annotate visual and geospatial data using mobile-based capture tools to enhance real-world AI datasets. Responsibilities include collecting, verifying, and validating field data such as images, locations, and associated metadata. I strictly follow capture guidelines to ensure accuracy and consistency across different environments. • Annotate and verify geospatial images and related data. • Utilize mobile apps for data collection tasks. • Ensure compliance with detailed project guidelines. • Maintain data quality by validating field submissions.

In my current role with Atlas Capture, I annotate visual and geospatial data using mobile-based capture tools to enhance real-world AI datasets. Responsibilities include collecting, verifying, and validating field data such as images, locations, and associated metadata. I strictly follow capture guidelines to ensure accuracy and consistency across different environments. • Annotate and verify geospatial images and related data. • Utilize mobile apps for data collection tasks. • Ensure compliance with detailed project guidelines. • Maintain data quality by validating field submissions.

2026 - Present

Data Annotator / Transcriptionist

AppenAudioTranscription

As a Data Annotator and Transcriptionist for Appen, I performed high-accuracy audio and speech transcription for AI speech recognition systems. The role encompassed detailed labeling of conversational and linguistic data while conducting stringent quality checks. I was responsible for meeting tight deadlines and ensuring project compliance. • Transcribed and labeled audio data for ML and NLP models. • Ensured data met specified project accuracy standards. • Balanced multiple tasks simultaneously with time management. • Conducted periodic reviews for quality assurance.

As a Data Annotator and Transcriptionist for Appen, I performed high-accuracy audio and speech transcription for AI speech recognition systems. The role encompassed detailed labeling of conversational and linguistic data while conducting stringent quality checks. I was responsible for meeting tight deadlines and ensuring project compliance. • Transcribed and labeled audio data for ML and NLP models. • Ensured data met specified project accuracy standards. • Balanced multiple tasks simultaneously with time management. • Conducted periodic reviews for quality assurance.

2025 - 2025

Data Annotation Specialist

TextClassification

As a Data Annotation Specialist at Outlier AI, I annotated and classified large-scale text datasets to support machine learning and NLP model training. My work required adherence to strict annotation guidelines and regular quality validation. Collaboration with project reviewers was essential to resolve discrepancies and ensure data quality. • Annotated and classified diverse text samples for AI development. • Applied QA processes and validated labeled data. • Maintained consistency according to annotation protocols. • Resolved unclear cases through team communication.

As a Data Annotation Specialist at Outlier AI, I annotated and classified large-scale text datasets to support machine learning and NLP model training. My work required adherence to strict annotation guidelines and regular quality validation. Collaboration with project reviewers was essential to resolve discrepancies and ensure data quality. • Annotated and classified diverse text samples for AI development. • Applied QA processes and validated labeled data. • Maintained consistency according to annotation protocols. • Resolved unclear cases through team communication.

2024 - 2025

Education

Work History