Albert W.

Key Skills

Software

Clickworker

HiveMind

Img Lab

Micro1

OneForma

Mindrift

Toloka

Telus

Surge AI

Top Subject Matter

AI/ML training data annotation and AI content evaluation

Government survey data collection and eligibility verification

Legal Services & Contract Review

Top Data Types

Document

Image

Video

Top Task Types

Data Collection

Classification

Transcription

Object Detection

Bounding Box

Freelancer Overview

AI Data Annotator & Content Evaluator (Remote Contract) | SproutGigs, Hive Micro, Microworkers. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose. Education includes Bachelor of Science, Moi University (2027) and Certificate, Ajira Digital Program (2024). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Data Annotator & Content Evaluator (Remote Contract) | SproutGigs, Hive Micro, Microworkers

Don't discloseText

Annotated and classified text, image, and multimedia datasets to support large-scale AI and machine learning model training and fine-tuning. Evaluated AI-generated content for logical coherence, factual accuracy, grammatical correctness, and adherence to detailed project rubrics. Performed multi-layer quality assurance on annotated datasets to identify and correct classification errors and guideline deviations before submission. • Conducted structured classification and tagging for training data across multiple platforms. • Provided structured written feedback that informed model improvement cycles. • Managed prioritised high-volume pipelines while meeting concurrent deadlines. • Applied judgment for ambiguous cases and escalated edge cases with documented reasoning.

2024 - Present

Field Enumerator | State Dept. for Social Protection & Senior Citizens Affairs (Eldoret Region)

Don't discloseDocumentData Collection

Conducted structured household surveys for Kenya's Enhanced Single Registry (ESR), supporting data used to target government cash-transfer programmes. Verified socio-economic eligibility data through direct interviews and cross-referencing against existing records to detect inconsistencies and ensure data integrity. Produced accurate field reports in line with daily timelines while following government data-protection guidelines. • Performed interview-based data collection for household eligibility and socio-economic attributes. • Cross-checked responses against existing records to validate correctness. • Maintained confidentiality for sensitive information from vulnerable populations. • Submitted organised field reports that contributed to the department’s evidence base.

2024 - 2024

Education

Work History