Peter Terner

Key Skills

Software

Label Studio

CVAT

Data Annotation Tech

Scale AI

Snorkel AI

Surge AI

Telus

Toloka

Remotasks

OpenCV AI Kit (OAK)

OneForma

Mindrift

Mercor

Labelbox

Appen

Top Subject Matter

NLP/LLM Evaluation and AI Response Ranking

Computer Vision – Object Detection & Multimodal Alignment

Legal Services & Contract Review

Top Data Types

Text

Image

Video

Top Task Types

Object Detection

Text Generation

RLHF

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Computer Programming/Coding

Fine-tuning

Red Teaming

Question Answering

Point/Key Point

Classification

Segmentation

Freelancer Overview

AI Trainer & Data Annotation Specialist with experience across data collection, annotation, evaluation, and RLHF workflows. Skilled in labeling and evaluating text, image, and multimodal datasets, detecting hallucinations and bias, and applying structured guidelines to improve model accuracy and alignment. Proficient with Label Studio, CVAT, Excel, and Python for data handling and analysis. Background includes training in Software Engineering (2018–2021), Data Science (2021–2022), and Artificial Intelligence (2022–2023). Experienced in AI response evaluation, ranking, and multimodal annotation, with strong analytical skills and a focus on delivering high-quality training data.

Labeling Experience

Multimodal Data Collection & Annotation Specialist

CVATImageObject Detection

I collected and annotated real-world image datasets for AI training and evaluation purposes. I labeled images for object detection and classification tasks, ensuring compliance with quality standards and dataset requirements. I contributed to multimodal alignment projects involving coordination between text and visual inputs for complex annotation tasks. • Worked with datasets including images and POV recordings • Applied annotation standards for detection, classification, and multimodal alignment • Validated dataset quality, performed iterative corrections, and removed inconsistencies • Used labeling software and tools to complete project requirements

I collected and annotated real-world image datasets for AI training and evaluation purposes. I labeled images for object detection and classification tasks, ensuring compliance with quality standards and dataset requirements. I contributed to multimodal alignment projects involving coordination between text and visual inputs for complex annotation tasks. • Worked with datasets including images and POV recordings • Applied annotation standards for detection, classification, and multimodal alignment • Validated dataset quality, performed iterative corrections, and removed inconsistencies • Used labeling software and tools to complete project requirements

2023 - Present

AI Trainer & Data Annotation Specialist

Label StudioText

I evaluated AI-generated text outputs for accuracy, safety, and usefulness using structured scoring rubrics. I ranked responses and provided detailed justifications to support reinforcement learning from human feedback (RLHF) workflows. I consistently identified hallucinations, bias, and failure cases in model outputs while adhering to complex guideline frameworks. • Completed high-volume annotation and evaluation tasks in NLP domains • Maintained high accuracy and consistency during structured evaluation • Contributed to model alignment through RLHF ranking and written feedback • Supported dataset creation, cleaning, and validation for fine-tuning

I evaluated AI-generated text outputs for accuracy, safety, and usefulness using structured scoring rubrics. I ranked responses and provided detailed justifications to support reinforcement learning from human feedback (RLHF) workflows. I consistently identified hallucinations, bias, and failure cases in model outputs while adhering to complex guideline frameworks. • Completed high-volume annotation and evaluation tasks in NLP domains • Maintained high accuracy and consistency during structured evaluation • Contributed to model alignment through RLHF ranking and written feedback • Supported dataset creation, cleaning, and validation for fine-tuning

2023 - Present

NLP Data Labeling & AI Response Evaluation (RLHF Tasks)

TextRLHF

Completed text-based AI training tasks including classification, sentiment analysis, and response evaluation using Label Studio. Performed RLHF-style ranking of AI-generated outputs based on accuracy, coherence, safety, and instruction adherence. Provided structured feedback and maintained consistency with detailed annotation guidelines while evaluating multiple model responses.

Completed text-based AI training tasks including classification, sentiment analysis, and response evaluation using Label Studio. Performed RLHF-style ranking of AI-generated outputs based on accuracy, coherence, safety, and instruction adherence. Provided structured feedback and maintained consistency with detailed annotation guidelines while evaluating multiple model responses.

2025 - 2026

Multimodal Object Detection & Image Annotation Project

VideoObject Detection

Worked on multimodal image and video annotation for computer vision model training, including object detection and activity recognition using CVAT. Ensured precise bounding box labeling while following strict annotation guidelines. Maintained high-quality, consistent outputs through validation and review cycles to improve dataset accuracy and reliability.

Worked on multimodal image and video annotation for computer vision model training, including object detection and activity recognition using CVAT. Ensured precise bounding box labeling while following strict annotation guidelines. Maintained high-quality, consistent outputs through validation and review cycles to improve dataset accuracy and reliability.

2024 - 2025

Education

Work History