For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
S
Solomon T.

Solomon T.

Prompt, Evaluation,Data Labeling, Video, and Text Annotator for AI Models

USA flagWashington, Usa

Key Skills

Software

AppenAppen
ClickworkerClickworker
RemotasksRemotasks
Scale AIScale AI
TelusTelus

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

ClassificationClassification
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Question AnsweringQuestion Answering
Translation/LocalizationTranslation/Localization

Freelancer Overview

I am an AI training and data labeling specialist with hands-on experience working across text, image, and video annotation projects. My work focuses on producing high-quality datasets for machine learning models, including LLM evaluation, content classification, object detection, transcription, and prompt–response generation. I am skilled in using leading annotation platforms such as Label Studio, Labelbox, CVAT, SuperAnnotate, and proprietary tools, consistently delivering accurate, well-structured data at scale. I bring strong analytical skills, attention to detail, and the ability to follow complex guidelines while maintaining consistency across large datasets. My background includes supporting AI teams with data quality audits, edge-case identification, model evaluation, and dataset refinement. I excel in fast-paced environments where precision and reliability are critical, and I am committed to contributing high-value training data that supports robust and safe AI systems.

Labeling Experience

CVAT

Autonomous Vehicle Perception Dataset Annotation

CVATCVATImageImageBounding BoxBounding BoxPoint/Key PointPoint/Key Point

I worked on annotating large-scale image and video data for autonomous vehicle perception. My tasks included creating bounding boxes, polygons, segmentation masks, keypoints, and polylines for objects such as vehicles, pedestrians, cyclists, traffic signs, and lane markings. I also performed object tracking across video frames to ensure consistency. The project involved strict QA checks, guideline adherence, and collaboration with a distributed team, consistently meeting a 98% accuracy target.

2023 - 2023

Education

U

University of Washington

Master of Science, Accounting

Master of Science
2024 - 2024
W

Washington State University

Bachelor of Business Administration, Finance

Bachelor of Business Administration
2022 - 2022

Work History

P

PricewaterhouseCoopers

Tax Senior

Seattle
2023 - Present
B

Barclays

Tech Audit Advisory Analyst

Seattle
2022 - 2022