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Maksim Koprivica

Maksim Koprivica

AI Quality Specialist | LLM Evaluation & Annotation

CANADA flag
Waterloo, Canada
$30.00/hrExpertData Annotation TechMercorScale AI

Key Skills

Software

Data Annotation TechData Annotation Tech
MercorMercor
Scale AIScale AI
Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
ImageImage
TextText
VideoVideo

Top Label Types

Audio Recording
Bounding Box
Classification
Data Collection
Emotion Recognition
Entity Ner Classification
Evaluation Rating
Function Calling
Mapping
Object Detection
Prompt Response Writing SFT
Question Answering
Red Teaming
RLHF
Segmentation
Text Generation
Text Summarization
Transcription

Freelancer Overview

I am an experienced AI and data quality specialist with a strong background in data annotation, labeling, and training data design for LLMs across multilingual, STEM, and financial domains. My work includes leading QA workflows, refining prompt engineering, and optimizing model alignment through RLHF and RAG pipelines. I have collaborated with cross-functional teams to identify edge cases, improve dataset consistency, and enhance instruction-following in production AI systems. My technical skills span annotation tools, synthetic data generation, workflow automation (Airtable, Make.com), and output evaluation using structured rubrics. I am passionate about building high-quality datasets, reducing ambiguity, and delivering reliable training data for advanced AI applications.

ExpertEnglishSerbianCroatianSerbo Croatian

Labeling Experience

Data Annotation Tech

Math Annotator (AI Training Data)

Data Annotation TechTextClassificationQuestion Answering
Reviewed and annotated mathematical and financial data to improve model understanding of equations, logic, and symbolic reasoning. Tasks included classifying equations, validating reasoning steps, and correcting annotation inconsistencies across formats such as LaTeX, spreadsheets, and scanned documents.

Reviewed and annotated mathematical and financial data to improve model understanding of equations, logic, and symbolic reasoning. Tasks included classifying equations, validating reasoning steps, and correcting annotation inconsistencies across formats such as LaTeX, spreadsheets, and scanned documents.

2025 - 2025
Mercor

AI Model Alignment & Quality Specialist (Contract)

MercorTextRLHFEvaluation Rating
Provided independent alignment and quality evaluation of advanced AI model outputs using structured rubrics focused on reasoning quality, instruction adherence, and intent alignment. Reviewed ambiguous and edge-case prompts where automated scoring was insufficient, supporting reliable preference ranking and consistency across evaluation runs.

Provided independent alignment and quality evaluation of advanced AI model outputs using structured rubrics focused on reasoning quality, instruction adherence, and intent alignment. Reviewed ambiguous and edge-case prompts where automated scoring was insufficient, supporting reliable preference ranking and consistency across evaluation runs.

2025 - 2025
Scale AI

Senior Data Quality & Model Optimization Specialist

Scale AITextRLHFEvaluation Rating
Worked across multiple large-scale LLM training, evaluation, and optimization initiatives focused on improving instruction-following, reasoning quality, and alignment. Responsibilities included reviewing and comparing model outputs, preference ranking, edge-case analysis, and applying detailed evaluation rubrics in ambiguous scenarios where judgment was required. Contributed to RLHF and RAG pipelines by identifying recurring failure patterns and data gaps, and translating evaluation findings into prompt, dataset, and guardrail improvements. Also led QA and validation workflows to ensure labeling accuracy and consistency across projects.

Worked across multiple large-scale LLM training, evaluation, and optimization initiatives focused on improving instruction-following, reasoning quality, and alignment. Responsibilities included reviewing and comparing model outputs, preference ranking, edge-case analysis, and applying detailed evaluation rubrics in ambiguous scenarios where judgment was required. Contributed to RLHF and RAG pipelines by identifying recurring failure patterns and data gaps, and translating evaluation findings into prompt, dataset, and guardrail improvements. Also led QA and validation workflows to ensure labeling accuracy and consistency across projects.

2023 - 2025

Education

W

Wilfrid Laurier University

Bachelor of Business Administration, Business Administration with a Specialization in Finance, Minors in Computer Science and Entrepreneurship

Bachelor of Business Administration
2018 - 2022

Work History

K

KodaBot

AI Consultant / Co-Founder

Waterloo
2024 - Present
C

Cohere AI

Senior Data Quality Specialist

Toronto
2023 - 2024