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D

Dauda Uzamot

Data Annotator (Text)

Nigeria flagLagos, Nigeria
$10.00/hrIntermediateAppen

Key Skills

Software

AppenAppen

Top Subject Matter

General AI/ML Training
General Computer Vision
Speech/Voice AI

Top Data Types

TextText
ImageImage
AudioAudio
DocumentDocument

Top Task Types

Classification
Transcription
Question Answering
Data Collection
Evaluation Rating

Freelancer Overview

Data Annotator (Text). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Bachelor of Science, University of Lagos (2023). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification and Transcription.

IntermediateEnglishYiddish

Labeling Experience

Appen

Data Annotator (Audio)

AppenAudioTranscription
As part of the annotation team at Appen, I was responsible for audio data labeling and transcription tasks. I accurately transcribed and tagged audio clips to build reliable speech datasets for AI models. Work included reviewing outputs for consistency and correcting errors as required. • Transcribed and labeled audio files for speech AI projects • Ensured high accuracy and compliance with annotation guidelines • Reviewed, validated, and corrected annotations for consistency • Reached high productivity while maintaining quality standards

As part of the annotation team at Appen, I was responsible for audio data labeling and transcription tasks. I accurately transcribed and tagged audio clips to build reliable speech datasets for AI models. Work included reviewing outputs for consistency and correcting errors as required. • Transcribed and labeled audio files for speech AI projects • Ensured high accuracy and compliance with annotation guidelines • Reviewed, validated, and corrected annotations for consistency • Reached high productivity while maintaining quality standards

2024 - 2026
Appen

Data Annotator (Image)

AppenImageClassification
During my role with Appen's CrowdGen, I conducted accurate image annotation and classification across various projects. I followed visual data standards and project requirements to ensure consistency and high-quality output. My tasks included validation and revision for optimal labeled image sets. • Annotated and classified image datasets for AI model learning • Maintained visual consistency and guideline compliance on all projects • Conducted quality checks and corrections for accuracy improvement • Contributed to multiple simultaneous projects under tight deadlines

During my role with Appen's CrowdGen, I conducted accurate image annotation and classification across various projects. I followed visual data standards and project requirements to ensure consistency and high-quality output. My tasks included validation and revision for optimal labeled image sets. • Annotated and classified image datasets for AI model learning • Maintained visual consistency and guideline compliance on all projects • Conducted quality checks and corrections for accuracy improvement • Contributed to multiple simultaneous projects under tight deadlines

2024 - 2026
Appen

Data Annotator (Text)

AppenTextClassification
As a Data Annotator on Appen's CrowdGen platform, I labeled and categorized text datasets for AI model training. I ensured adherence to detailed guidelines and met strict QA benchmarks for quality and accuracy. My work involved consistently meeting weekly task and hour goals while validating and correcting labeled data. • Labeled and classified diverse text datasets for multiple AI projects • Ensured guideline compliance and maintained a 95% accuracy rate • Consistently completed 50+ tasks per week at 40 hours per week • Performed data validation and error correction to improve quality

As a Data Annotator on Appen's CrowdGen platform, I labeled and categorized text datasets for AI model training. I ensured adherence to detailed guidelines and met strict QA benchmarks for quality and accuracy. My work involved consistently meeting weekly task and hour goals while validating and correcting labeled data. • Labeled and classified diverse text datasets for multiple AI projects • Ensured guideline compliance and maintained a 95% accuracy rate • Consistently completed 50+ tasks per week at 40 hours per week • Performed data validation and error correction to improve quality

2024 - 2026

Education

U

University of Lagos

Bachelor of Science, Economics

Bachelor of Science
2023

Work History

C

Crowdgen

Data labeling and data annotator

Alimosho
2024 - 2026
U

Unique Integrity College

Secretary/Tutor

Lagos
2023 - 2025