Moses O.

Key Skills

Software

Appen

Telus

Other

Top Subject Matter

AI/ML dataset annotation for training

AI/ML data labeling (TELUS International AI)

AI/ML dataset annotation

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

AI Data Annotator at Appen (TELUS International AI projects). Core strengths include Appen, Telus, and Other. Education includes Bachelor of Science, Kenyatta University (2023). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Labeling Specialist at TELUS International AI

TelusTextClassification

Provided ongoing data labeling support for AI/ML systems by producing labeled examples according to defined rubrics. Focused on maintaining dataset quality through guideline adherence and iterative review processes. • Labeled and validated dataset items for machine learning training and/or evaluation. • Applied quality assurance checks and incorporated reviewer feedback. • Managed task prioritization to meet throughput and SLA requirements. • Documented and resolved labeling ambiguities based on project instructions.

2024 - Present

Data Annotator at Atlas Capture

OtherTextClassification

Completed time-bounded data annotation work for AI model training datasets using established labeling guidelines. Ensured each labeled item met quality standards prior to submission. • Produced labeled outputs for dataset items as specified by the project. • Applied rubric-based decisions for ambiguous cases using provided instructions. • Participated in iterative feedback/review cycles when required. • Maintained productivity while preserving label accuracy.

2026 - 2026

Data Annotator at DataLens Africa

OtherTextClassification

Annotated datasets for AI/ML applications, applying consistent labeling criteria to generate high-quality training data. Supported model improvement by ensuring labeled records aligned with project requirements. • Performed data annotation tasks with attention to label definitions and consistency. • Followed review and correction workflows to improve label accuracy. • Delivered completed batches within schedule expectations. • Contributed to dataset reliability through careful QA before submission.

2025 - 2025

AI Data Annotator at Appen (TELUS International AI projects)

AppenTextClassification

Performed AI data annotation for machine learning training datasets using project guidelines and quality criteria. Ensured labeled outputs were consistent, accurate, and suitable for downstream model learning and evaluation. • Worked on TELUS International AI annotation initiatives through Appen. • Followed labeling instructions, edge-case handling rules, and rejection/feedback loops. • Completed dataset tasks within agreed timelines and productivity targets. • Conducted self-checks to minimize errors before submission.

2023 - 2024

Education

Work History