Sam

Key Skills

Software

Toloka

Mercor

Scale AI

Top Subject Matter

Text AI/LLM/NLP

Search Engine AI/Search Query

Robotics/Video Action Recognition

Top Data Types

Text

Video

Image

Document

Top Task Types

Action Recognition

Freelancer Overview

AI Data Annotation Specialist – Toloka. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Toloka, Mercor, and Scale AI. Education includes Master of Science, University of California, Berkeley (2024) and Bachelor of Science, Alabama State University (2023). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Action Recognition.

Labeling Experience

AI Data Annotation Specialist – Toloka

TolokaText

As an AI Data Annotation Specialist at Toloka, I annotated and labeled training datasets for text-based machine learning. I performed quality assurance reviews and evaluated AI-generated content for relevance and quality. I was recognized for high consistency and helped refine annotation standards. • Labeled over 2,500 AI training examples for text models • Performed contextual and linguistic evaluations of content • Assisted in updating guidelines and calibration standards • Maintained high speed and accuracy on all projects

2025 - Present

Search Query Evaluation & AI Model Training – Mecor

MercorText

At Mecor, I evaluated search query relevance and produced documentation to guide AI search ranking models. I designed and rated structured queries using relevance frameworks. My tasks included category assignment and online research for accuracy. • Evaluated and classified 100+ search queries • Used structured guidelines to rate and categorize content • Contributed to AI search model training workflows • Verified rating accuracy through research

2023 - 2024

Contract Video Annotation Specialist – Scale AI

Scale AIVideoAction Recognition

As a Video Annotation Specialist at Scale AI, I corrected and refined model-generated video annotations for robotics datasets. I performed detailed frame-level timestamp alignments and action label corrections to ensure dataset quality. I collaborated with QA teams and contributed guideline improvement suggestions. • Corrected and validated 200+ video annotations per shift • Maintained 98.7% inter-rater reliability in labeling • Documented edge cases and systematic errors • Supported engineering and QA in dataset improvement

2022 - 2023

Education

Work History