Brandoll M.

Key Skills

Software

Other

Mercor

Telus

Dataloop

Top Subject Matter

NLP / LLM evaluation

text classification

Ner Domain Expertise

Top Data Types

Text

Video

Document

Top Task Types

Tracking

Text Summarization

Data Collection

Segmentation

RLHF

Evaluation/Rating

Computer Programming/Coding

Fine-tuning

Question Answering

Red Teaming

Freelancer Overview

Data Annotator — NSI Technologies (Remote). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include N, A, and Other. Education includes Bachelor of Science, William Paterson University. AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Entity (NER), Evaluation, and Rating.

Labeling Experience

Founder — Applied LLM & AI SaaS Projects (Independent)

OtherTextRLHF

Developed and evaluated LLM applications using Claude across healthcare and business use cases. Built structured QA and acceptance-criteria frameworks to assess AI outputs for accuracy, compliance, and instruction adherence. Delivered ongoing AI quality review capabilities to support production readiness of LLM systems. • Implemented evaluation frameworks for LLM instruction adherence. • Assessed AI outputs for accuracy and compliance against criteria. • Built production LLM systems for healthcare and business workflows. • Supported continual iteration of QA processes for AI output quality.

2020 - Present

Data Operations Specialist — Insight Global (Remote)

OtherImage

Led QA operations across concurrent enterprise AI training programs to maintain high annotation accuracy on multi-domain datasets. Designed inter-annotator agreement protocols and performed label consistency audits to reduce rework and improve reliability. Served as calibration lead by authoring annotation guidelines and resolving edge-case ambiguities with direct alignment to ML engineering. • Maintained 97%+ annotation accuracy for high-volume datasets. • Audited labels and implemented inter-annotator agreement for consistency. • Authored guidelines and calibrated annotator judgment on edge cases. • Supported NLP, computer vision, and structured data labeling workflows via pipeline integrity checks.

2022 - 2026

Data Annotator — NSI Technologies (Remote)

VideoTracking

Executed video annotation work including video object tracking at scale alongside other computer vision labeling tasks. Produced bounding box annotations for images as part of multi-modal dataset creation. Applied annotation judgment to support training-ready datasets with consistent labeling quality. • Labeled video object tracking annotations for training datasets. • Produced image bounding boxes to support CV workflows. • Completed multi-task annotation across text and vision projects. • Ranked highly for throughput and accuracy in annotator cohorts.

2020 - 2022

Education

Work History