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J
James J.

James J.

AI Training & Prompt Engineering Specialist — Outlier AI (United States)

USA flagBrooklyn, Usa

Key Skills

Software

Other
Data Annotation TechData Annotation Tech
LabelboxLabelbox
Micro1
MercorMercor

Top Subject Matter

Conversational AI training data
record classification
and prompt engineering

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification
Text GenerationText Generation
Fine-tuningFine-tuning
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

AI Training & Prompt Engineering Specialist — Outlier AI (United States). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor in Computer Software Engineering, Stanford University (2021). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT) and Classification.

Labeling Experience

Data Analyst — Houston, Texas

TextTextClassificationClassification

Keyed, cleaned, and processed structured and unstructured datasets to support high-speed data entry and database navigation. Transmitted data through automated extraction and transformation pipelines while maintaining strict record classification standards. Sorted and processed data from CSV files and APIs for accurate record management. • Performed data keying and cleaning • Maintained record classification integrity in pipelines • Automated repetitive data entry to improve efficiency • Sorted and processed CSV/API data for database navigation

2024 - 2025

AI Training & Prompt Engineering Specialist — Outlier AI (United States)

OtherTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Provided prompt keying and optimization for large language models to improve high-accuracy data entry and output relevance. Performed record classification, sorting, and summarization for complex datasets in conversational AI environments. Reviewed AI system outputs to identify edge cases and reduce bias while preserving consistent classification quality. • Keyed and optimized LLM prompts for accurate responses • Conducted record classification, sorting, and summarization • Scanned outputs for edge cases and bias • Processed high-volume training datasets and supported annotation workflows

2024 - 2025

Education

S

Stanford University

Bachelor in Computer Software Engineering, Computer Software Engineering

Bachelor in Computer Software Engineering
2017 - 2021

Work History

S

Software Engineer

Software Engineer

Houston
2025 - 2026
S

Software Developer (Python & Data Systems)

Software Developer (Python & Data Systems)

Houston
2025 - 2026