Alexander K.

Key Skills

Software

Other

Labelbox

Scale AI

CVAT

iMerit

Label Studio

Remotasks

Snorkel AI

Top Subject Matter

Large Language Models (LLMs)

Nlp Domain Expertise

Natural Language Processing

Top Data Types

Text

Video

Image

Document

Top Task Types

Classification

RLHF

Prompt + Response Writing (SFT)

Tracking

Polygon

Bounding Box

Object Detection

Text Generation

Evaluation/Rating

Computer Programming/Coding

Fine-tuning

Text Summarization

Question Answering

Cuboid

Polyline

Entity (NER) Classification

Segmentation

Freelancer Overview

AI Systems Contributor (Part-Time). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, Labelbox, and Scale AI. Education includes Bachelor of Science, Stanford University (2016). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Systems Contributor (Part-Time)

OtherText

Contributed to prompt evaluation, named entity recognition (NER) tasks, and RLHF workflows across multiple AI/ML pipelines. Supported backend annotation tool development and dataset quality assurance through structured feedback processes. Worked with distributed teams to enhance the reliability and accuracy of large language model outputs. • Performed evaluation of AI-generated responses using established QA guidelines. • Applied structured feedback for dataset optimization and consistency. • Collaborated on backend tool development for annotation workflows. • Focused on maintaining high standards for LLM training data reliability.

2023 - Present

Video Data Annotation (Project)

CVATVideoTracking

Annotated over 20 hours of video footage with more than 50,000 object tracking tasks using CVAT software. Ensured consistency and accuracy in video object labeling for computer vision data pipelines. Optimized classification accuracy through improved annotation practices and quality standards. • Managed high-volume video annotation and tracking tasks. • Enhanced classification and detection through accurate labels. • Leveraged CVAT tools for object detection and dataset optimization. • Supported computer vision model training and validation.

2023 - 2023

AI Data Annotator & Transcription Specialist

LabelboxTextClassification

Annotated and validated datasets for NLP and computer vision models as part of LLM training efforts. Conducted large-scale audio transcription and labeling activities to support speech recognition systems. Consistently met strict QA standards and contributed to high-accuracy data workflows. • Handled dataset preparation tasks for LLM and computer vision pipelines. • Delivered high-volume annotation with a focus on accuracy and consistency. • Conducted labeling and transcription for audio and speech applications. • Maintained strict adherence to QA criteria in remote team settings.

2022 - 2023

AI Data Trainer / Annotator

Scale AITextRLHF

Executed RLHF tasks including ranking, prompt evaluation, and multimodal dataset annotation. Collaborated with teams to ensure quality through validation, consistency checks, and accuracy metrics. Maintained a high annotation accuracy rate and supported evolving AI workflows. • Carried out response ranking and prompt evaluation for LLMs. • Participated in multimodal annotation: classification, segmentation, and more. • Conducted dataset validation and maintained accuracy over time. • Tracked and reported key metrics in distributed remote teams.

2021 - 2022

AI Trainer (Coding & Data Annotation)

RemotasksTextPrompt + Response Writing (SFT)

Trained AI systems through prompt creation, rewriting, and evaluation to improve large language model outputs. Identified and corrected response errors, bias, and inconsistencies as part of continuous quality improvement. Delivered structured annotation tasks and participated in QA feedback loops for diverse AI domains. • Created and evaluated prompts for LLMs. • Conducted weekly review of over 500 AI responses. • Provided feedback to enhance output quality. • Supported multi-domain annotation and QA activities.

2020 - 2021

Education

Work History