Sam Nyandika

Key Skills

Software

Surge AI

Appen

Clickworker

Top Subject Matter

Computer Vision

Natural Language Processing

LLM/AI Model Training

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Entity (NER) Classification

RLHF

Transcription

Classification

Freelancer Overview

AI Data Annotator & Trainer (Freelance). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, Appen, and Surge AI. Education includes Kenya Certificate of Secondary Education, Kenya National Examinations Council (2021). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Entity (NER) Classification, and RLHF.

Labeling Experience

AI Data Annotator & Trainer (Freelance)

AppenAudioTranscription

I transcribed audio files to text for AI training and conducted data cleaning of transcripts. Ensuring quality control, I achieved very low error rates during quality audits. The project supported audio-to-text pipelines and natural language model development. • Transcribed and cleaned audio to text data. • Ensured <2% error rate on audit checks. • Supported training for ASR and NLP tasks. • Used Labelbox, Appen, and Surge AI tools.

I transcribed audio files to text for AI training and conducted data cleaning of transcripts. Ensuring quality control, I achieved very low error rates during quality audits. The project supported audio-to-text pipelines and natural language model development. • Transcribed and cleaned audio to text data. • Ensured <2% error rate on audit checks. • Supported training for ASR and NLP tasks. • Used Labelbox, Appen, and Surge AI tools.

2023 - Present

AI Data Annotator & Trainer (Freelance)

Surge AITextRLHF

I performed Reinforcement Learning from Human Feedback (RLHF) tasks by ranking and annotating AI-generated text. The role involved writing preference annotations and providing feedback to optimize model outputs. My careful evaluation helped improve response relevance and accuracy. • Ranked AI responses for quality and preference. • Provided preference annotations and structured feedback. • Ensured responses met desired criteria and style. • Utilized platforms such as Surge AI and Scale AI for annotation.

I performed Reinforcement Learning from Human Feedback (RLHF) tasks by ranking and annotating AI-generated text. The role involved writing preference annotations and providing feedback to optimize model outputs. My careful evaluation helped improve response relevance and accuracy. • Ranked AI responses for quality and preference. • Provided preference annotations and structured feedback. • Ensured responses met desired criteria and style. • Utilized platforms such as Surge AI and Scale AI for annotation.

2023 - Present

AI Data Annotator & Trainer (Freelance)

AppenTextEntity Ner Classification

I annotated datasets for NLP models with labels for named entity recognition, sentiment, and intent. These annotations underpinned machine learning models for a range of language tasks. The work required precise adherence to complex annotation guidelines. • Tagged English text for NER, sentiment, and intent. • Supported dataset creation for NLP applications. • Contributed to high-quality training data for language models. • Used industry-standard tools including Labelbox, Scale AI, and Appen.

I annotated datasets for NLP models with labels for named entity recognition, sentiment, and intent. These annotations underpinned machine learning models for a range of language tasks. The work required precise adherence to complex annotation guidelines. • Tagged English text for NER, sentiment, and intent. • Supported dataset creation for NLP applications. • Contributed to high-quality training data for language models. • Used industry-standard tools including Labelbox, Scale AI, and Appen.

2023 - Present

AI Data Annotator & Trainer (Freelance)

LabelboxImageBounding Box

As an AI Data Annotator & Trainer, I completed large volumes of image labeling tasks using bounding boxes, segmentation, and object classification. I maintained high inter-annotator agreement by following detailed guidelines. My work supported AI model development and quality improvement for diverse client needs. • Labeled over 500 images with >98% agreement. • Applied semantic segmentation and object classification techniques. • Ensured quality and consistency across batches of 1,000+ items. • Used platforms such as Labelbox, Scale AI, Appen, Surge AI, and CVAT.

As an AI Data Annotator & Trainer, I completed large volumes of image labeling tasks using bounding boxes, segmentation, and object classification. I maintained high inter-annotator agreement by following detailed guidelines. My work supported AI model development and quality improvement for diverse client needs. • Labeled over 500 images with >98% agreement. • Applied semantic segmentation and object classification techniques. • Ensured quality and consistency across batches of 1,000+ items. • Used platforms such as Labelbox, Scale AI, Appen, Surge AI, and CVAT.

2023 - Present

Content Reviewer & Quality Analyst (Part-time)

AppenDocumentClassification

As a Content Reviewer & Quality Analyst, I validated and categorized various web documents and product listings. My duties included reviewing for accuracy, completeness, and policy compliance. I flagged and labeled content based on detailed style guidelines. • Classified over 200 items per day for accuracy and quality. • Applied categorical and policy-driven labels to documents. • Maintained 99% accuracy in monthly audits. • Used Appen and internal tools for review and labeling.

As a Content Reviewer & Quality Analyst, I validated and categorized various web documents and product listings. My duties included reviewing for accuracy, completeness, and policy compliance. I flagged and labeled content based on detailed style guidelines. • Classified over 200 items per day for accuracy and quality. • Applied categorical and policy-driven labels to documents. • Maintained 99% accuracy in monthly audits. • Used Appen and internal tools for review and labeling.

2022 - 2022

Education

Work History