Mabel W.

Key Skills

Software

Data Annotation Tech

Google Cloud Vertex AI

Mindrift

OneForma

Mighty AI

Top Subject Matter

Account Management domains

structured enterprise financial/operational data

SQL-grounded synthetic environments

Top Data Types

Text

Computer Code Programming

Top Task Types

Question Answering

Classification

Text Generation

Transcription

Evaluation/Rating

Data Collection

Freelancer Overview

AI Structured Data Annotation Specialist | CrowdGen – Project Otorottock | Remote. Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CrowdGen, N, and A. Education includes Bachelor of Business Administration, University of Texas. AI-training focus includes data types such as Text and labeling workflows including Question Answering, Evaluation, and Rating.

Labeling Experience

Sports Analytics Consultant & AI Evaluation Specialist | Remote

Text

Reviewed AI-generated sports analytics commentary for analytical depth and factual precision related to professional soccer matches. Assessed tactical execution and structural adjustments described in the commentary for realism and correctness. Delivered structured insights intended to improve the model’s strategic interpretation and authenticity. • Evaluated commentary for logical analytical detail. • Checked factual precision of match-related claims. • Validated descriptions of tactics and structural adjustments. • Provided structured feedback to support iteration of realism-focused models.

Not specified

Search Quality Rater | Remote

Text

Performed search engine output evaluation focusing on relevance, intent alignment, and informational value for user queries. Applied contextual reasoning to ambiguous and multi-intent requests to determine the best-fit results. Maintained strict performance benchmarks while working independently in a remote setting. • Rated search results for relevance to query intent. • Evaluated informational value and completeness of outputs. • Used contextual reasoning for ambiguous multi-intent queries. • Followed performance benchmarks for consistent throughput and quality.

Not specified

AI Content Evaluation Specialist | Independent Consultant | Remote

Text

Evaluated AI-generated content for accuracy, completeness, safety, and alignment with user intent using rubric-based standards. Identified misinformation risks, logical inconsistencies, and contextual gaps that could degrade user trust and model outputs. Provided structured feedback to enable iterative improvements in model performance. • Assessed content for factual correctness and completeness. • Flagged safety issues and misinformation risk indicators. • Checked for logical consistency and context adherence. • Applied rubric-based evaluation to guide model refinement.

Not specified

AI Structured Data Annotation Specialist | CrowdGen – Project Otorottock | Remote

TextQuestion Answering

Labeled and validated structured question-answer pairs grounded in synthetic SQL database environments within account management domains. Translated structured query outputs into realistic business-facing scenarios to support downstream AI learning and evaluation. Ensured contextual integrity and logical consistency of financial and operational datasets used for model training. • Produced training examples for AI systems to reason over structured enterprise data. • Performed contextual validation and logical consistency checks on dataset fields. • Built Q&A content from synthetic SQL outputs for domain-specific realism. • Supported iterative improvement of model performance using high-quality labeled inputs.

Not specified

Education

Work History