Michael A.

Key Skills

Software

Don't disclose

Top Subject Matter

Ai/ml Domain Expertise

Llms Domain Expertise

Nlp Domain Expertise

Top Data Types

Text

Image

Audio

Video

Document

Top Task Types

Segmentation

Classification

Entity (NER) Classification

RLHF

Freelancer Overview

AI Trainer & Data Annotator (Freelance, Remote) — LLM training, evaluation, and text annotation support. Core strengths include Don't disclose. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and Segmentation.

Labeling Experience

AI Trainer & Data Annotator (Freelance, Remote) — RLHF support and alignment evaluation

Don't discloseTextRLHF

Supports reinforcement learning from human feedback by contributing human feedback within RLHF training and evaluation workflows. Provides structured human feedback to help models improve alignment with safety, relevance, and quality expectations. Executes quality assurance reviews on feedback-informed outputs to help maintain training integrity. • RLHF workflow participation and human feedback provision • Data validation and feedback quality checks • Alignment-focused content review for safety and relevance • Iterative improvement through evaluation cycles

2022 - Present

AI Trainer & Data Annotator (Freelance, Remote) — NLP labeling and linguistic validation

Don't discloseTextEntity (NER) Classification

Performs NLP data annotation including Named Entity Recognition, sentiment analysis, and intent classification. Annotates conversational datasets used for chatbot and virtual assistant training. Validates linguistic annotations and applies quality control measures to improve model accuracy and dataset usability. • NER labeling for entity extraction tasks • Sentiment analysis and intent classification annotations • Conversational dataset labeling for dialogue systems • Annotation review and QA validation for consistency

2022 - Present

AI Trainer & Data Annotator (Freelance, Remote) — Video dataset labeling and QA

Don't discloseVideoClassification

Annotates video datasets for machine learning applications that require labeled temporal content. Follows annotation guidelines to produce high-quality categorical labels and maintain consistency across samples. Conducts quality assurance reviews and validation checks to ensure labeled video data is ready for model training. • Video annotation and dataset labeling for ML tasks • Quality control to maintain annotation accuracy • Review of labeled outputs for compliance and relevance • Collaboration with AI teams and project managers to address issues

2022 - Present

AI Trainer & Data Annotator (Freelance, Remote) — Audio dataset labeling and quality checks

Don't discloseAudioClassification

Labels and annotates audio datasets to support NLP and multimodal machine learning use cases. Applies consistent labeling and classification procedures to improve dataset reliability for model training. Performs validation checks and quality assurance on annotated audio samples to maintain high accuracy. • Audio annotation for ML dataset preparation • Data cleansing/validation and QA review of labeled samples • Collaboration to resolve data quality issues • Ensuring compliance with labeling rules and project requirements

2022 - Present

AI Trainer & Data Annotator (Freelance, Remote) — Computer vision image labeling and QA

Don't discloseImageSegmentation

Annotates computer vision datasets for object detection and image classification using bounding boxes and segmentation techniques. Applies annotation guidelines to label images accurately and consistently across large-scale projects. Performs quality reviews to detect errors and ensure annotation uniformity for downstream model training. • Bounding box and polygon/sementation labeling for visual datasets • Object detection and image classification annotation tasks • Annotation review and quality control for consistency • Support for dataset preparation and validation for CV training pipelines

2022 - Present

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Education

Work History