Marcus Njoroge

Key Skills

Software

Remotasks

Other

Appen

Clickworker

Data Annotation Tech

iMerit

Mercor

Telus

Top Subject Matter

AI Alignment and Response Evaluation

Computer Vision (Object Detection, Landmark/Keypoint Annotation, Segmentation)

Programming/Software Code Review (AI Output Evaluation)

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Bounding Box

Object Detection

Freelancer Overview

AI Data Annotator & Content Evaluator. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Remotasks and Other. Education includes Bachelor of Science, Egerton University (2024) and No Degree Earned, PLP Africa — Power Learn Project Academy (2024). AI-training focus includes data types such as Text, Image, and Computer Code and labeling workflows including RLHF, Bounding Box, and Evaluation.

Labeling Experience

Computer Vision Annotation Specialist (Client Projects & Academic)

OtherImageObject Detection

I conducted keypoint, landmark, and pose annotation tasks for image-based computer vision projects. Using knowledge from OpenCV and MediaPipe, I labeled precise visual features and cross-verified annotation accuracy. My work enabled clients to prepare annotation-ready datasets for AI model training in computer vision applications. • Annotated pose, gesture, and landmarks in images • Applied domain expertise for commercial and academic datasets • Utilized computer vision tools for precise annotation • Participated in object detection QA and flagged uncertainties

I conducted keypoint, landmark, and pose annotation tasks for image-based computer vision projects. Using knowledge from OpenCV and MediaPipe, I labeled precise visual features and cross-verified annotation accuracy. My work enabled clients to prepare annotation-ready datasets for AI model training in computer vision applications. • Annotated pose, gesture, and landmarks in images • Applied domain expertise for commercial and academic datasets • Utilized computer vision tools for precise annotation • Participated in object detection QA and flagged uncertainties

2023 - Present

AI Data Annotator & Content Evaluator

Remotasks

I reviewed AI-generated code for correctness, instruction-following, and output quality, leveraging my expertise in software development. My work included rating program functionality and identifying errors or improvement areas. This quality assurance directly informed feedback for AI coding tools and programming models. • Evaluated Python and code outputs created by AI models • Checked for syntactic, semantic, and logic correctness • Flagged problematic or unsafe code snippets • Used code review tools within annotation platforms

I reviewed AI-generated code for correctness, instruction-following, and output quality, leveraging my expertise in software development. My work included rating program functionality and identifying errors or improvement areas. This quality assurance directly informed feedback for AI coding tools and programming models. • Evaluated Python and code outputs created by AI models • Checked for syntactic, semantic, and logic correctness • Flagged problematic or unsafe code snippets • Used code review tools within annotation platforms

2023 - Present

AI Data Annotator & Content Evaluator

RemotasksImageBounding Box

I annotated images by drawing bounding boxes and polygons around objects to support computer vision model training. This included object detection, semantic segmentation, and landmark labeling for commercial and academic projects. I ensured accuracy by applying detailed guidelines and leveraging previous experience with OpenCV and MediaPipe. • Used computer vision annotation tools on Remotasks • Labeled objects, human figures, and keypoints in various image datasets • Maintained strict adherence to project instructions • Performed quality assurance and flagging of ambiguous cases

I annotated images by drawing bounding boxes and polygons around objects to support computer vision model training. This included object detection, semantic segmentation, and landmark labeling for commercial and academic projects. I ensured accuracy by applying detailed guidelines and leveraging previous experience with OpenCV and MediaPipe. • Used computer vision annotation tools on Remotasks • Labeled objects, human figures, and keypoints in various image datasets • Maintained strict adherence to project instructions • Performed quality assurance and flagging of ambiguous cases

2023 - Present

AI Data Annotator & Content Evaluator

RemotasksTextRLHF

I performed AI-generated response evaluation for accuracy, relevance, helpfulness, and safety within RLHF pipelines. My work involved rating the quality of AI model outputs, flagging problematic content, and selecting preferred responses. This helped improve the overall alignment and user safety of deployed AI systems. • Evaluated text-based responses on Remotasks and similar platforms • Applied complex scoring rubrics to ensure model quality • Contributed human feedback directly used for model training • Ensured safety and adherence to platform guidelines

I performed AI-generated response evaluation for accuracy, relevance, helpfulness, and safety within RLHF pipelines. My work involved rating the quality of AI model outputs, flagging problematic content, and selecting preferred responses. This helped improve the overall alignment and user safety of deployed AI systems. • Evaluated text-based responses on Remotasks and similar platforms • Applied complex scoring rubrics to ensure model quality • Contributed human feedback directly used for model training • Ensured safety and adherence to platform guidelines

2023 - Present

Education

Work History