Faith Kinyanjui

Key Skills

Software

iMerit

Remotasks

CVAT

Data Annotation Tech

CloudFactory

Labelbox

LightTag

LabelImg

Micro1

Other

Top Subject Matter

Home Chores/Behavioral Tasks

Synthetic Media/Computer Vision

Speech/telephony Domain Expertise

Top Data Types

Video

Image

Audio

Text

Top Task Types

Data Collection

Classification

Transcription

Object Detection

Bounding Box

Cuboid

Text Generation

Question Answering

Text Summarization

Evaluation/Rating

Freelancer Overview

I have experience in AI Training from the start, Education at Chuka University in Kenya, and I have also worked with Organisations like Imerit, Atlas Capture, Avala AI, Uber AI, Remotasks, etc. Through these experiences, I have been able to acquire skills as a labeller, reviewer, and trainer. For example, at Atlas Capture, I joined as a labeller at tier 1, I was later promoted to tier 2, tier 3 and finally a trainer to train labellers on how to produce good work.

Labeling Experience

AI Data Annotation Specialist

VideoObject Detection

I annotate and label video datasets to assist in the training of AI computer vision models on the Atlas platform. My tasks include identifying different objects and actions within video clips and reviewing my annotations for accuracy. I ensure that all labeling is performed in strict adherence to project guidelines and standards. • Labeled objects and activities in diverse video datasets for AI training. • Performed quality reviews on self-produced annotations. • Maintained consistency and reliability in annotation tasks. • Utilized the Atlas Capture platform for all annotation work.

I annotate and label video datasets to assist in the training of AI computer vision models on the Atlas platform. My tasks include identifying different objects and actions within video clips and reviewing my annotations for accuracy. I ensure that all labeling is performed in strict adherence to project guidelines and standards. • Labeled objects and activities in diverse video datasets for AI training. • Performed quality reviews on self-produced annotations. • Maintained consistency and reliability in annotation tasks. • Utilized the Atlas Capture platform for all annotation work.

2025 - Present

Transcription

AudioTranscription

I transcribed audio files in both English and Swahili according to project guidelines. This supported AI speech recognition development by ensuring reliable, accurate training transcripts. All output was created adhering to language and formatting standards for large-scale AI training. • Provided English and Swahili transcriptions for AI datasets. • Ensured compliance with formatting and accuracy standards. • Reviewed and corrected transcripts for quality control. • Facilitated multilingual AI speech recognition improvements.

I transcribed audio files in both English and Swahili according to project guidelines. This supported AI speech recognition development by ensuring reliable, accurate training transcripts. All output was created adhering to language and formatting standards for large-scale AI training. • Provided English and Swahili transcriptions for AI datasets. • Ensured compliance with formatting and accuracy standards. • Reviewed and corrected transcripts for quality control. • Facilitated multilingual AI speech recognition improvements.

2026 - 2026

Transcription

ImeritAudioTranscription

I transcribed audio recordings in English and Swahili to create high-quality, language-diverse datasets for AI model training. My work adhered strictly to provided guidelines to ensure consistency and accuracy. The transcription contributed to the linguistic competence of various AI applications. • Converted spoken content into written transcripts for AI datasets. • Maintained high accuracy in both English and Swahili transcriptions. • Followed standard procedures and language guidelines meticulously. • Supported the development of multilingual speech AI models.

I transcribed audio recordings in English and Swahili to create high-quality, language-diverse datasets for AI model training. My work adhered strictly to provided guidelines to ensure consistency and accuracy. The transcription contributed to the linguistic competence of various AI applications. • Converted spoken content into written transcripts for AI datasets. • Maintained high accuracy in both English and Swahili transcriptions. • Followed standard procedures and language guidelines meticulously. • Supported the development of multilingual speech AI models.

2026 - 2026

Transcription - Audio Classification

ImeritAudioClassification

I analyzed and classified audio call recordings based on authenticity, emotional content, and quality for AI dataset curation. This included distinguishing between real, scripted, and AI-generated calls, and providing reasons for each classification. I ensured that contextual and emotion-related attributes were consistently identified. • Classified calls by genuine, bot, and scripted nature. • Annotated recordings for emotional tone and authenticity. • Provided quality feedback on dataset suitability for AI training. • Compiled reasoning for each classification per audio file.

I analyzed and classified audio call recordings based on authenticity, emotional content, and quality for AI dataset curation. This included distinguishing between real, scripted, and AI-generated calls, and providing reasons for each classification. I ensured that contextual and emotion-related attributes were consistently identified. • Classified calls by genuine, bot, and scripted nature. • Annotated recordings for emotional tone and authenticity. • Provided quality feedback on dataset suitability for AI training. • Compiled reasoning for each classification per audio file.

2026 - 2026

Data reviewer/labeler

ImeritImageClassification

I categorized images and videos as real or AI-generated for AI training datasets. I identified distinguishing features, provided rationale for each classification, and reviewed work done by other labelers for quality assurance. The work also involved using advanced labeling tools such as Prism labelers with various functionalities. • Classified and differentiated real versus synthetic media content. • Reviewed and verified other labelers' outputs for quality adherence. • Utilized Prism tools such as box, draw, arrow, and pin. • Maintained detailed records of classification and review rationale.

I categorized images and videos as real or AI-generated for AI training datasets. I identified distinguishing features, provided rationale for each classification, and reviewed work done by other labelers for quality assurance. The work also involved using advanced labeling tools such as Prism labelers with various functionalities. • Classified and differentiated real versus synthetic media content. • Reviewed and verified other labelers' outputs for quality adherence. • Utilized Prism tools such as box, draw, arrow, and pin. • Maintained detailed records of classification and review rationale.

2026 - 2026

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Education

Work History