Austin T.

Key Skills

Software

Don't disclose

Top Subject Matter

Multimodal AI ground-truth generation and evaluation for business workflows across verticals (e.g., Retail, Energy)

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

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Top Task Types

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Freelancer Overview

AI Training Experience - Applied granular data validation protocols including self-contained context verification, strict formatting constraints, and structured multi-step logical commands to guarantee clean, error-free, and objective ground-truth answers. - Engineered and curated complex visual Question-Answering (VQA) datasets to advance visual reasoning, dense text processing, and structural chart interpretation capabilities of multimodal AI models. - Engineered complex evaluation tasks for high-level AI models by designing realistic, multi-step business workflows across diverse verticals including Retail and Energy. Education includes a Bachelor of Arts, Western Washington University (2017) and Non-Degree Study, University of Indonesia (2020). - AI & Data: AI Model Evaluation, Data Annotation, Visual Question-Answering (VQA), Multimodal Datasets, Failure Mode Analysis, Leonardo AI, Business Workflow Design - Finance & Analysis: Financial Modeling, Revenue Forecasting, Data Management & Analysis, Market Research, KPI/OKR Tracking, Tokenomics, Pricing Optimization - Strategy & Tools: Strategic Partnerships, Investor Relations, Web3 Ecosystems, Investment Strategy, Microsoft Excel (Advanced), SharePoint, Shopify

Labeling Experience

AI Data Annotation Specialist (Domain Specific) – Freelance

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No description provided.

2025 - Present

Domain-Specific AI Data Annotation Specialist (Freelance) - Freelance

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You served as an AI Data Annotation Specialist for domain-specific labeling and validation tasks, focusing on producing objective ground-truth outputs. The work required designing granular quality checks, enforcing strict formatting, and validating context across multi-step prompts. You also built and evaluated dataset and workflow tasks for multimodal AI use cases. • Applied data validation protocols including context verification • Engineered VQA datasets for multimodal visual reasoning • Designed realistic multi-step evaluation workflows across business verticals • Curated error-free ground-truth answers for high-level AI models

2025 - Present

AI Data Annotation Specialist (Domain Specific) – Freelance (Remote)

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Applied granular data validation protocols, including self-contained context verification and strict formatting constraints, to ensure clean and objective ground-truth outputs. Engineered structured multi-step logical commands that improve consistency and reduce ambiguity in labeled responses. Curated evaluation-oriented tasks to test high-level model behavior across realistic business workflows.•Validated context and formatting rules for ground-truth answers.•Designed multi-step logical labeling instructions for objective outcomes.•Created evaluation tasks aligned to business workflow scenarios.•Focused on error-free, high-quality annotation quality control.

2025 - Present

Education

Work History