Anthony D.

Key Skills

Software

Scale AI

Other

Mercor

Top Subject Matter

AI training and data annotation for web/search and multi-turn agent evaluation

AI response evaluation and RLHF-style feedback for tool-based task completion

Desktop/UI annotation and agent evaluation for training multi-turn AI interactions

Top Data Types

Audio

Document

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Bounding Box

Classification

Entity (NER) Classification

Evaluation/Rating

Fine-tuning

Prompt + Response Writing (SFT)

Question Answering

RLHF

Text Generation

Text Summarization

Freelancer Overview

AI Training (Remote). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor and Other. Education includes Certificate, Thinkful (2022) and Bachelor of Art, California State University-Bakersfield (2019). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Prompt + Response Writing (SFT), RLHF, and Evaluation.

Labeling Experience

AI Data Specialist

OtherTextBounding Box

Designed realistic desktop scenarios across macOS, Windows, and Linux to simulate real user environments for AI training and evaluation workflows. Captured and annotated UI elements with precise bounding boxes and accurate UI/UX terminology to improve training data quality and interface understanding. Built narrative workspace contexts and multi-step scenarios reflecting authentic user behavior, then evaluated agent performance on edge cases, recovery paths, and multi-step reasoning. • Iterated on desktop scenarios, screenshots, and annotation datasets to strengthen realism and data quality • Assessed robustness, adaptability, and instruction following across challenging scenario variants • Improved interface interaction understanding through detailed UI labeling and terminology mapping • Supported multi-step workflow realism for training and evaluation deliverables

2024 - 2026

AI Training & Quality Analyst

Scale AITextBounding BoxClassification

As an AI Training & Quality Analyst at Outlier AI, I evaluated and annotated AI-generated responses using defined criteria. My work involved assessing output for accuracy, bias, and compliance with ethical and legal standards within web search simulations and virtual assistant tasks. I contributed to improvement feedback and model training using reinforcement learning from human feedback (RLHF). • Executed step-by-step actions within simulated tools, annotating decision-making processes • Compared responses between model iterations to identify areas for improvement • Provided structured feedback to enhance alignment with organizational guidelines • Verified and documented AI's completion of assigned user tasks

2024

AI Training (Remote)

MercorPrompt + Response Writing (SFT)

Executed structured AI training workflows on macOS following detailed instructions, recording step-by-step task completion with narrated reasoning across multiple domains. Produced complex image-based prompts paired with accurate golden responses for multi-turn AI evaluation, including hedging cases where prompts did not match images. Uploaded and curated IT-domain screenshots and UI images to assess grounding, reasoning accuracy, and instruction following behavior. • Followed validation criteria, style guides, and system prompts to maintain output quality • Simulated multi-application workflows (2 to 5 apps) and captured all required interactions/artifacts in recordings • Conducted self-audits of recordings, responses, and submissions to improve guideline compliance and first-submission success • Supported fast-paced project sprint requirements through consistent deliverable accuracy

2026 - 2026

Education

Work History