Alexandra S.

Key Skills

Software

Label Studio

Top Subject Matter

Multimodal image annotation for ML research projects

Multilingual AI training and language/content evaluation

Data quality assurance for AI training datasets

Top Data Types

Image

Text

Top Task Types

Bounding Box

RLHF

Freelancer Overview

Multimodal Data Labeling Specialist | AI Annotation Services (2022 – Present). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Internal, and Proprietary Tooling. Education includes Bachelor of Arts, [Your University]. AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

Multimodal Data Labeling Specialist | AI Annotation Services (2022 – Present)

Label StudioImageBounding Box

Multimodal data labeling specialist focusing on bounding-box tagging and image tagging for machine learning datasets. Performed quality assurance to maintain accuracy rates above benchmark levels and ensure guideline-compliant annotations. Helped improve labeling consistency by flagging edge cases and ambiguous samples for downstream guideline updates. • Executed bounding-box labeling and related image tagging tasks • Applied labeling ontologies and structural guidelines • Participated in dataset cleaning and validation (duplicates, nulls, formatting errors) • Assisted with inter-annotator agreement checks and root-cause analysis for discrepancies

2022 - Present

Data Quality Analyst | DataOps Solutions (2021 – 2022)

Text

Data quality analyst focused on dataset validation and quality assurance for AI annotation workflows. Cleaned and validated structured datasets by identifying duplicates, null values, and formatting errors. Conducted inter-annotator agreement checks and root-cause analysis to reduce labeling discrepancies and improve delivery quality. • Performed structured dataset cleaning and validation checks • Ran inter-annotator agreement (IAA) assessments • Conducted root-cause analysis for quality discrepancies • Developed internal QA checklists to reduce error rates

2021 - 2022

RLHF / LLM Fine-tuning Support (2020 – 2021 timeframe)

TextRLHF

Contributed to RLHF (Reinforcement Learning from Human Feedback) pipelines for LLM fine-tuning and language evaluation. Provided structured feedback to improve training signals by identifying model issues and language quality gaps. Supported prompt assessment and NLP QA activities to enhance alignment and response quality. • Assisted RLHF pipeline contributions for LLM fine-tuning • Provided structured feedback on language model errors • Supported prompt assessment and NLP quality checks • Helped ensure evaluated outputs met expected quality criteria

2020 - 2021

Multilingual AI Trainer & Language QA Evaluator | LinguaAI Platform (2020 – 2021)

Text

Multilingual AI training and language quality evaluation for LLM and AI-generated content. Evaluated responses for fluency, accuracy, tone, and cultural appropriateness across multiple languages. Rated creative writing outputs for coherence, relevance, originality, and prompt adherence while supplying structured findings to improve model behavior. • Conducted translation/localization quality assessments across English and target languages • Rated creative outputs on coherence, relevance, originality, and prompt adherence • Performed LLM evaluation for fluency, accuracy, tone, and cultural fit • Identified systemic language model errors and submitted structured feedback reports

2020 - 2021

Education

Work History