Jackson N.

Key Skills

Software

Remotasks

Mindrift

Toloka

Data Annotation Tech

Axiom AI

Top Subject Matter

Natural Language Processing (NLP) & Conversational AI (Text annotation, prompt-response evaluation, RLHF, English & Kiswahili language datasets)

Energy Research & Sustainable Development (Household survey data collection, geospatial data capture, field research — from the eed Advisory/Loughborough University project)

General Knowledge & Information Technology (Computer science, data management, document processing, software/technical content evaluation)

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Classification

Entity (NER) Classification

Point/Key Point

Question Answering

Text Summarization

Transcription

Evaluation/Rating

Freelancer Overview

Product Evaluator & Quality Assessor (Super Deals Investment). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and Microsoft Excel & Access. Education includes Bachelor of Science, Machakos University (2024) and Kenya Certificate of Secondary Education, Maryland Secondary School (2019). AI-training focus includes data types such as Document and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Field Data Collection & Geospatial Survey — Household Cooking Technologies Research (Nairobi)

Geospatial Tiled ImageryData Collection

Worked as a Field Research Clerk and Data Collector for an academic research study commissioned by eed Advisory in partnership with Loughborough University and MECS (Modern Energy Cooking Services), focused on fuel stacking behaviour and cooking technology adoption among households in the Nairobi region. Core responsibilities involved conducting structured household interviews using a standardised digital questionnaire, capturing and inputting respondent answers in real time via a tablet-based data collection system. Used QField mapping software to navigate to and locate target households across assigned geographic zones, and recorded precise GPS geolocations for each interviewed household — directly producing geospatial data points tied to survey responses. After each interview, verified completeness and accuracy of all questionnaire entries before submission to eed Advisory's central data system, ensuring zero missing fields and consistent data quality across all records. Also presented system-generated cooking technology recommendations to respondents based on their survey responses, requiring clear communication and the ability to explain technical information in accessible terms.

2025 - 2025

Multilingual Text Annotation & AI Response Evaluation — English/Kiswahili Dataset

TextEntity (NER) Classification

Designed and executed a personal text annotation and AI response evaluation project focused on English and Kiswahili language data, aligned with standard RLHF and SFT (Supervised Fine-Tuning) workflows used in large language model training. Tasks included writing and evaluating prompt-response pairs across general knowledge, customer service, and everyday conversational domains; rating AI-generated responses for accuracy, helpfulness, fluency, and safety on a structured 1–5 rubric; and performing Named Entity Recognition (NER) classification to identify and tag people, locations, organisations, and dates within text samples. Applied consistent annotation guidelines to maintain inter-annotator reliability standards, flagged ambiguous or policy-violating content, and documented labeling decisions with clear rationale. Special focus was placed on Kiswahili-language samples to surface translation quality issues and cultural context gaps common in African language AI datasets.

2022 - 2024

Product Evaluator & Quality Assessor (Super Deals Investment)

Document

Evaluated products against predefined quality and condition criteria, aligning judgment with structured AI output rating and quality scoring workflows. Maintained consistent evaluation standards across varied product types to support repeatable, guideline-driven labeling behavior. Documented evaluation outcomes accurately in structured records while interpreting warranty and loan terms with precise language comprehension. • Applied consistent judgment criteria to comparable items • Recorded outcomes and supporting assessment details • Interpreted policy-like product quality constraints • Maintained organized assessment documentation

2022 - 2024

Data Entry & Document Processing Clerk (SasaTech Limited)

DocumentData Collection

Performed high-volume data entry and document processing to specified output standards, supporting the accuracy and structure required in labeling platforms. Formatted and processed multiple document types while maintaining speed and precision in a structured office workflow. Ensured records were organized for downstream use, mirroring data preparation steps common in AI annotation pipelines. • High-volume accurate data entry and verification • Document formatting to match defined output standards • Structured record-keeping and organization • Quality-focused processing in a procedural environment

2022 - 2023

Data Capture & Verification Clerk (IEBC — 2022 General Elections)

DocumentData Collection

Executed strict data capture procedures under audited, high-stakes conditions, demonstrating the ability to follow detailed guideline-based labeling steps precisely. Verified and cross-checked records for accuracy with zero tolerance for errors, emphasizing QA discipline. Maintained efficiency under time pressure while preserving procedural compliance relevant to deadline-driven annotation work. • Strict guideline adherence in audited settings • Record verification and cross-checking for accuracy • Error detection with zero-tolerance compliance • Timely, compliant completion under pressure

2022 - 2022

Education

Work History