Mathew K.

Key Skills

Software

Other

AWS SageMaker

CloudFactory

CVAT

Data Annotation Tech

Encord

Dataloop

Google Cloud Vertex AI

Labelbox

iMerit

Label Studio

Lionbridge

Mercor

Micro1

Mindrift

OneForma

OpenCV AI Kit (OAK)

Prodigy

Remotasks

Sama

Scale AI

SuperAnnotate

Snorkel AI

Sloth

V7 Labs

Toloka

Internal/Proprietary Tooling

Top Subject Matter

LLM evaluation

RLHF quality control

AI safety auditing

Top Data Types

Text

Image

Video

Top Task Types

RLHF

Bounding Box

Polygon

Classification

Cuboid

Polyline

Text Generation

Segmentation

Entity (NER) Classification

Point/Key Point

Object Detection

Question Answering

Text Summarization

Fine-tuning

Transcription

Evaluation/Rating

Data Collection

Computer Programming/Coding

Prompt + Response Writing (SFT)

Freelancer Overview

AI QC Reviewer / Quality Control Lead, Novabit Tech (AI quality control & evaluation). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, Georgia Institute of Technology (2026) and Bachelor of Science, Moi University (2020). AI-training focus includes data types such as Text and Video and labeling workflows including RLHF and Bounding Box.

Labeling Experience

AI QC Reviewer / Quality Control Lead, Novabit Tech (AI quality control & evaluation)

TextRLHF

Responsible for auditing and validating high-volume AI/LLM training and evaluation datasets using RLHF workflows and rubric-based scoring. Performed hallucination detection, safety/policy evaluation, and ground-truth comparison to ensure outputs met expected criteria. Reviewed structured JSON payloads and SQL-backed datasets to verify integrity and alignment with required labels. • Evaluated logical consistency, factual correctness, and policy compliance. • Identified hallucinations, reasoning flaws, safety violations, and edge-case failures. • Validated structured artifacts (JSON, SQL-backed datasets, simulated agent environments). • Provided actionable feedback to prompt engineers and scenario designers.

2023 - Present

Senior Data Annotator, Freelance (computer vision labeling & QA)

OtherVideoBounding Box

Worked as a senior data annotator delivering production-grade computer vision annotations, including 2D bounding boxes and video annotations. Used AI-assisted pre-labeling workflows by validating and correcting model-generated outputs to reduce labeling errors. Supported QA and guideline adherence through class consistency checks and edge-case handling while meeting accuracy and delivery benchmarks. • Produced 2D bounding box and video annotations for computer vision datasets. • Validated and corrected AI-assisted pre-labels. • Enforced class consistency and corrected edge cases to reduce noise. • Maintained high annotation accuracy while meeting delivery targets.

2019 - 2024

Education

Work History