Costa E.

Key Skills

Software

Other

Top Subject Matter

AI model training and computer vision datasets (2D object recognition)

Video object tracking annotation for AI model training

LiDAR labeling and 3D spatial annotation for AI

Top Data Types

Image

Video

3D Sensor

Text

Document

Top Task Types

Bounding Box

Tracking

Point/Key Point

Transcription

Classification

Data Collection

Freelancer Overview

AI Data Operations Specialist (Remote) — Image & Spatial Annotation (2D bounding boxes). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, University of California, Berkeley (2019) and Bachelor of Science, University of Colorado Denver (2017). AI-training focus includes data types such as Image, Video, and 3D Sensor and labeling workflows including Bounding Box, Tracking, and Point.

Labeling Experience

Junior Data Scientist — Data pipeline preparation supporting AI/analytics workflows

Image

Built and maintained analytics dashboards that increased access to key performance indicators for business teams. While not traditional annotation work, applied data preparation and preprocessing practices to support data-driven decision-making using labeled/processed datasets. Developed automated queries and documentation to streamline data workflows supporting downstream reporting. • Cleaned and preprocessed large datasets to identify trends • Developed automated SQL queries to extract and merge data • Collaborated to ensure data integrity during system updates • Trained end-users on BI tools and documented data pipelines

2023 - Present

AI Data Operations Specialist (Remote) — LLM Evaluation (Safety & Relevance)

Text

Critiqued and rated Large Language Model outputs to assess quality, relevance, and safety. Provided structured feedback to refine algorithm responses and improve model behavior. Served as ground-truth style evaluation work to support iterative AI model training. • Rated LLM responses for relevance and safety • Assessed output quality for dataset/evaluation improvement • Supplied feedback to guide refinement of model outputs • Maintained labeling performance metrics during evaluations

2020 - 2022

AI Data Operations Specialist (Remote) — Data Collection & Comparison

OtherDocumentData Collection

Conducted data collection and comparison by sourcing information online and comparing similar items to build labeled inputs. Produced curated examples used to improve AI understanding and model training datasets. Ensured collected data aligned with the intended labels and use cases. • Collected reference information from the internet • Compared similar objects to produce consistent labeled inputs • Supported dataset enrichment for AI training

2020 - 2022

AI Data Operations Specialist (Remote) — Text Categorization

TextClassification

Performed text categorization to classify text/image-derived content into specific dataset categories. Used labeling outputs to structure data for training and refinement of machine learning models. Ensured consistent annotation quality for classification tasks. • Categorized texts into predefined labels • Supported dataset organization for ML model training • Contributed labeled data for downstream evaluation

2020 - 2022

AI Data Operations Specialist (Remote) — OCR Transcription

TextTranscription

Completed OCR transcription tasks to extract and transcribe text from images of documents and other sources. Produced labeled text outputs that could be used as ground truth for model training and evaluation. Performed labeling with an emphasis on accuracy and dataset usefulness. • Transcribed text from images such as documents, signs, and menus • Provided ground-truth transcriptions for supervised learning • Supported creation of text datasets

2020 - 2022

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Education

Work History