Benedict J.

Key Skills

Software

Appen

Clickworker

HiveMind

Labelbox

LightTag

Mercor

Scale AI

Toloka

Telus

Snorkel AI

Sloth

Roboflow

Remotasks

OpenCV AI Kit (OAK)

Mindrift

Lionbridge

Label Studio

LabelImg

Kili Technology

Img Lab

Humanatic

Google Cloud Vertex AI

Deep Systems

Datature

Top Subject Matter

AI training data labeling (image annotation) and NLP/LLM evaluation for reinforcement learning feedback

Freelance AI annotation and data review

including chatbot quality assessment

Top Data Types

Image

Video

Audio

Top Task Types

Entity (NER) Classification

Bounding Box

RLHF

Freelancer Overview

AI Data Specialist – Cognitech Labs. Core strengths include Don't disclose. Education includes Master of Science, University of Nairobi (2023) and Bachelor of Science, University of Nairobi (2019). AI-training focus includes data types such as Image and Video and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

AI Data Specialist – Cognitech Labs

Don't discloseImage

Performed large-scale image annotation and data labeling for AI systems to support machine learning performance. Evaluated AI-generated responses to improve NLP and LLM output quality while ensuring alignment with training goals. Helped maintain dataset integrity through HIT-driven review workflows across multiple datasets. • Conducted image annotation and labeling at scale for AI training datasets • Evaluated AI responses for quality and correctness to guide improvements • Contributed to RLHF initiatives to support model accuracy and preference learning • Managed HIT projects and verified data integrity to reduce label errors

2021 - 2023

Freelance AI Annotator & Data Reviewer

Don't discloseImageEntity (NER) Classification

Annotated images, text, and videos for machine learning projects in a remote freelance capacity. Evaluated chatbot responses for clarity, safety, and accuracy and provided actionable feedback to AI trainers. Ensured labeled outputs supported downstream model learning and dataset readiness. • Labeled images, text, and video data for ML training • Reviewed chatbot outputs for clarity, safety, and correctness • Provided improvement-focused feedback to AI trainers • Supported dataset preparation through iterative review and verification

2019 - 2020

Data Analyst Intern – DeepVision Technologies

Don't discloseVideoBounding Box

Assisted with image and video annotation for computer vision AI projects to help produce training-ready datasets. Performed dataset quality verification and corrected labeling inconsistencies to improve reliability of annotations. Helped define structured labeling guidelines together with data teams to standardize annotation behavior. • Assisted in annotation for computer vision datasets (image/video) • Verified dataset quality and corrected inconsistencies • Collaborated on structured labeling guideline creation • Supported consistent annotation practices for model training

2018 - 2019

Education

Work History