Edward Ramirez

Key Skills

Software

Remotasks

Other

Top Subject Matter

Generative AI Models

Llms Domain Expertise

Visual AI

Top Data Types

Text

Image

3D Sensor

Audio

Top Task Types

RLHF

Segmentation

Audio Recording

Bounding Box

Point/Key Point

Classification

Polygon

Cuboid

Text Generation

Question Answering

Text Summarization

Transcription

Computer Programming/Coding

Object Detection

Entity (NER) Classification

Polyline

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Function Calling

Freelancer Overview

AI Content Evaluator — Generative Models. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier.ai, Remotasks, and Other. Education includes Bachelor of Science, Universidad Nacional Experimental del Táchira (2024). AI-training focus includes data types such as Text, Image, and 3D Sensor and labeling workflows including RLHF, Segmentation, and Audio Recording.

Labeling Experience

Voice & Audio Data Contributor — Spanish AI Training

OtherAudioAudio Recording

Recorded scripted and conversational speech samples in Latin American Spanish for ASR model training. Transcribed and time-stamped audio recordings, labeling speaker turns, background noise, overlapping speech, and emotion cues. Performed intent and sentiment annotation on conversational dialogue and evaluated TTS and voice-cloning outputs for naturalness and expressiveness. • Provided Spanish audio data for virtual assistants and call centers. • Transcribed and annotated background noise and speaker turns. • Labeled emotional, intent, and sentiment data in dialogue. • Evaluated TTS and cloned voices against professional vocal standards.

Recorded scripted and conversational speech samples in Latin American Spanish for ASR model training. Transcribed and time-stamped audio recordings, labeling speaker turns, background noise, overlapping speech, and emotion cues. Performed intent and sentiment annotation on conversational dialogue and evaluated TTS and voice-cloning outputs for naturalness and expressiveness. • Provided Spanish audio data for virtual assistants and call centers. • Transcribed and annotated background noise and speaker turns. • Labeled emotional, intent, and sentiment data in dialogue. • Evaluated TTS and cloned voices against professional vocal standards.

Present

3D LiDAR / Point-cloud Segmentation Annotator

Remotasks3D SensorSegmentation

Classified and segmented 3D LiDAR and point-cloud data for robotics and ADAS datasets. Labeled autonomous-driving scans to differentiate between cars, cyclists, buildings, and road markings. Performed quality assurance and recalibrated annotations by resolving edge cases and maintaining annotation guidelines. • 3D LiDAR point-cloud segmentation for vehicle detection. • Classified infrastructure and road elements in point-cloud data. • Annotation verification and edge-case resolution. • Collaborated with annotation teams for robust QA.

Classified and segmented 3D LiDAR and point-cloud data for robotics and ADAS datasets. Labeled autonomous-driving scans to differentiate between cars, cyclists, buildings, and road markings. Performed quality assurance and recalibrated annotations by resolving edge cases and maintaining annotation guidelines. • 3D LiDAR point-cloud segmentation for vehicle detection. • Classified infrastructure and road elements in point-cloud data. • Annotation verification and edge-case resolution. • Collaborated with annotation teams for robust QA.

Present

Image & Video Annotation Specialist

RemotasksImageSegmentation

Performed semantic segmentation and pixel-level labeling of images for computer vision and autonomous vehicle datasets. Annotated street scenes, satellite imagery, and retail environments for model training. Conducted bounding-box, polygon, and keypoint annotation for object detection, pose estimation, and facial landmark mapping. • Semantic segmentation on diverse environments (street, retail, satellite). • Bounding box, polygon, and keypoint annotation of objects and people. • Annotation QA, reviewing and calibrating peer work for guideline adherence. • Frame-by-frame object tracking and labeling for video understanding models.

Performed semantic segmentation and pixel-level labeling of images for computer vision and autonomous vehicle datasets. Annotated street scenes, satellite imagery, and retail environments for model training. Conducted bounding-box, polygon, and keypoint annotation for object detection, pose estimation, and facial landmark mapping. • Semantic segmentation on diverse environments (street, retail, satellite). • Bounding box, polygon, and keypoint annotation of objects and people. • Annotation QA, reviewing and calibrating peer work for guideline adherence. • Frame-by-frame object tracking and labeling for video understanding models.

Present

AI Content Evaluator — Generative Models

TextRLHF

Rated and provided structured feedback on outputs of large language models and image generators for RLHF pipelines. Assessed quality, accuracy, factual correctness, safety, and visual fidelity using professional judgment in both Spanish and English. Evaluated AI-generated graphic design assets and model responses for tone, intent, and named entity accuracy. • Rated LLM and image model outputs for accuracy and safety. • Evaluated graphic assets versus human-created references. • Labeled intent and named entities in multilingual LLM responses. • Used platform tools for robust RLHF evaluation and annotation.

Rated and provided structured feedback on outputs of large language models and image generators for RLHF pipelines. Assessed quality, accuracy, factual correctness, safety, and visual fidelity using professional judgment in both Spanish and English. Evaluated AI-generated graphic design assets and model responses for tone, intent, and named entity accuracy. • Rated LLM and image model outputs for accuracy and safety. • Evaluated graphic assets versus human-created references. • Labeled intent and named entities in multilingual LLM responses. • Used platform tools for robust RLHF evaluation and annotation.

Present

Education

Work History