Evans M.

Key Skills

Software

iMerit

CVAT

Top Subject Matter

Computer Vision

Behavior Recognition

Autonomous Vehicles

Top Data Types

Video

3D Sensor

Image

Top Task Types

Action Recognition

Point/Key Point

Bounding Box

Segmentation

Classification

Object Detection

Tracking

Freelancer Overview

Super-cell AI Video Annotator (Imerit Image output Editing). Core strengths include iMerit, Remotask, and CVAT. AI-training focus includes data types such as Video, 3D Sensor, and Image and labeling workflows including Action Recognition, Point, and Key Point.

Labeling Experience

Super-cell AI Video Annotator (Imerit Image output Editing)

iMeritVideoAction Recognition

Worked as a video annotator producing labeled datasets for computer vision and behavior recognition training. Ensured quality through systematic quality assurance checks and feedback integration. Prepared clean, structured datasets to support AI model testing and optimization. • Annotated and labeled visual data to train behavior recognition models. • Ran quality assurance checks to verify labeling accuracy. • Integrated feedback to improve label consistency. • Organized structured datasets for use in ML training and testing.

2026 - 2026

Lidar 3D Annotation Specialist (Remotask)

3D SensorPoint/Key PointBounding Box

Delivered high-precision 3D point cloud annotations for autonomous vehicle training. Labeled complex urban and highway scenes to improve learning signals for location and environment understanding. Coordinated with AI and data teams to keep labeling accurate and consistent across large dataset volumes. • Annotated 3D point clouds for AV training • Targeted complex urban and highway environments • Ensured accuracy and consistency across datasets • Followed project guidelines and met delivery deadlines

2023 - 2025

CVAT AI Image Annotator (Remote)

CVATImageSegmentationObject Detection

Performed image annotation for computer vision model training, including object detection and classification. Labeled thousands of images using CVAT to create bounding boxes, polygons, and segmentation masks. Conducted quality assurance reviews and refined labeling standards to match project specifications. • Labeled and categorized large volumes of images for ML training. • Created bounding boxes, polygons, and segmentation masks in CVAT. • Performed QA checks to ensure labels met specifications. • Contributed to improving AI-assisted automated labeling workflows.

2020 - 2023

Education

Work History