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Aman M.

Aman M.

Sama — AI Model Evaluator & Code Specialist

USA flagN/A, Usa

Key Skills

Software

SamaSama
Other

Top Subject Matter

AI model evaluation and annotation QA for code and long-form responses
Conversational AI data validation
annotation review

Top Data Types

TextText
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

Sama — AI Model Evaluator & Code Specialist. Brings 14+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Sama and Other. Education includes Master of Science, Stanford University (2018) and Bachelor of Science, University of Southern California (2013). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Sama

Sama — AI Model Evaluator & Code Specialist

SamaSama

Served as an AI model evaluator and code specialist performing rubric-based review of AI-generated responses to assess correctness, quality, clarity, factuality, and edge-case handling. Conducted annotation review and dataset validation by identifying hallucinations, citation errors, factual issues, and bias patterns within evaluation outputs. Built repeatable evaluation workflows to maintain high reliability across repeated task types and improve labeling consistency for downstream teams. • Completed 500+ AI evaluation and annotation tasks covering code, research summaries, and long-form generated responses. • Maintained 95%+ inter-annotator agreement to ensure consistent model evaluation and labeling outcomes. • Applied APA/MLA editorial and citation standards during review of research/manuscript-style outputs. • Cleaned and reorganized large JSON datasets and developed a Python evaluation harness to improve review consistency.

2022 - 2026

Avaamo — Data Scientist / AI Systems Analyst

OtherTextText

Supported conversational AI development through data validation, annotation review, and quality evaluation of labeled dialogue datasets. Helped define evaluation rubrics and review criteria to improve reproducibility of assessment workflows and strengthen NLP annotation quality control. Built validation systems to reduce annotation-related errors in large-scale labeled record processing. • Validated 10,000+ labeled conversational records and reduced annotation errors by 22%. • Developed and refined chatbot response evaluation rubrics for consistent dialogue quality assessment. • Worked with intent classification and dialogue datasets to support training data quality. • Performed ongoing quality evaluation of labeled dialogue data used in conversational AI pipelines.

2018 - 2021

Education

S

Stanford University

Master of Science, Data Science

Master of Science
2016 - 2018
U

University of Southern California

Bachelor of Science, Computer Science

Bachelor of Science
2009 - 2013

Work History

S

Sama

AI Model Evaluator & Code Specialist

N/A
2022 - Present
A

Avaamo

Data Scientist / AI Systems Analyst

N/A
2018 - 2021