Seth W.

Key Skills

Software

Toloka

Don't disclose

Other

Appen

iMerit

Label Studio

Mercor

Micro1

OneForma

Telus

Top Subject Matter

AI training data annotation for model improvement

AI model prompt training and evaluation

Data analysis for insights and reporting

Top Data Types

Text

Image

Document

Top Task Types

Classification

Prompt + Response Writing (SFT)

Object Detection

Text Generation

Transcription

Freelancer Overview

Data Annotation – Toloka (2024–Present). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Toloka, Don't disclose, and Other. Education includes Bachelor of Science, Masai Mara University (2021) and Secondary Education (KCSE), St Mary's High School Kibabal (2017). AI-training focus includes data types such as Text and labeling workflows including Classification, Prompt + Response Writing (SFT), and Evaluation.

Labeling Experience

Data Analysis – Upwork (2025–Present)

OtherText

Provided AI/data-related analysis services by transforming raw data into actionable insights using statistical and visualization methods. Performed data cleaning and exploratory analysis to support downstream evaluation and reporting needs. Produced charts and reports that communicate trends, patterns, correlations, and forecasts clearly. • Cleaned and prepared data for analysis • Conducted statistical and exploratory data analysis • Created visualizations and charts for reporting • Interpreted results and generated actionable insights

2025 - Present

AI Models Prompt Trainer – Respondent IQ (2024–Present)

Don't discloseTextPrompt + Response Writing (SFT)

Trained AI models by creating and refining prompts, evaluating responses, and contributing to overall model performance. Ranked and rated AI outputs based on quality metrics and provided feedback to improve training. Applied prompt creation guidelines while identifying biases and inconsistencies in model responses. • Developed effective prompts for AI models • Evaluated and rated model outputs for accuracy and relevance • Provided feedback to improve model training • Identified biases and inconsistencies

2024 - Present

Data Annotation – Toloka (2024–Present)

TolokaTextClassification

Performed data annotation to support AI model improvement by labeling multiple data modalities accurately to provided guidelines. Ensured labeled outputs met quality standards through consistency checks and guideline adherence. Collaborated with project managers to maintain productivity and confidentiality requirements. • Annotated text, images, and audio according to task instructions • Reviewed and ensured consistency in labeled data • Flagged problematic or unclear data items • Met daily and weekly productivity targets

2024 - Present

Education

Work History