AI Instructional Video Annotation

@RusianD

Hey there, I'm Ruslan, and I'm here to skyrocket your annotation project. With my extensive skill set that includes AI model development, this project feels like a natural fit for me. I've worked on numerous annotation projects in the past utilizing tools such as LLM and RAG, which have not only honed my accuracy but also my ability to follow strict guidelines with precision. In addition, I am familiar with platforms like Outlier and Remotasks, which would ensure a breezy transition into your project. Certainly, my proficiency doesn't stop there. Primarily an AI developer, I have been integrating various AI technologies (including chatbots and AI agents) into diverse systems for seamless functioning. This experience lends me a unique perspective that can contribute to not just meting out technical requirements but also the incorporation of advanced AI strategies for better data annotation outcomes. On a practical note, I can commit a dedicated number of hours per week depending on the size of your project. Rest assured, timely delivery of high-quality work is something you can rely on from me. My acuity in following set procedures and providing concise yet efficient output would be valuable throughout this process. Let's establish that trust with a paid trial set that you mentioned and get started swiftly. Can't wait to build something amazing with you!

@corpmember29

Hello, I have carefully reviewed your requirements and understand the complete scope of your AI video annotation project. I have similar experience working on AI training data, image, video, audio, and text annotation projects with a strong focus on accuracy, consistency, and strict guideline compliance for machine learning datasets. I have 10+ years of experience working with AI data processing and annotation workflows. I can accurately annotate spoken dialogue, ambient sounds, visible actions, gestures, and contextual events while following your taxonomy and quality standards. I am familiar with structured annotation processes used on platforms like Appen, TELUS, Outlier, Remotasks, and similar AI data labeling environments, and I can quickly adapt to Handshake AI Project Gaffer conventions. I can commit 40+ hours per week, perform thorough quality checks before submission, and ensure timely delivery with consistent, high-quality annotations. I WILL PROVIDE 2 YEARS OF FREE ONGOING SUPPORT WHERE APPLICABLE AND REMAIN AVAILABLE FOR LONG-TERM COLLABORATION. I am available to start immediately and look forward to contributing to your AI training project. I eagerly await your positive response. Thanks, Christina

@MashoodurRehman1

I am an experienced annotator with a solid background in creating detailed video annotations for machine learning models. My expertise lies in accurately identifying and tagging spoken words, ambient sounds, and visual elements crucial for training data. I have completed similar projects using platforms like Appen and Remotasks, ensuring comprehensive and precise output. In past projects, I successfully utilized tools such as DataAnnotation and Outlier, which have equipped me with the precision necessary for complex annotation tasks. My familiarity with annotation taxonomy and guidelines ensures adherence to structured requirements, and while I haven't worked with Handshake AI specifically, I have adapted to similar frameworks quickly. I am confident in my ability to produce the required deliverables according to the provided specifications. With the ability to dedicate up to 20 hours per week to this project, I am keen to discuss this opportunity further. Please let me know if there are specific aspects of the Handshake AI conventions I should focus on for a smoother integration into your workflow.

@jetjamsllc

Hello, My name is Ben Jackson from Jetjams Technologies. We would love to help with your video annotation project and can deliver accurate, high-quality work while following your guidelines and taxonomy. Why choose us: * Experience with video, audio, and data annotation projects * Familiar with structured annotation workflows and QA processes * Able to annotate speech, ambient sounds, actions, and visual details accurately * Comfortable working with platforms like Outlier, Appen, TELUS, DataAnnotation, and similar schemas * Available 30–40 hours per week * Committed to on-time delivery with a quality-check checklist for every assignment We are happy to complete the paid trial and follow the prescribed format exactly. We are so much grateful to serve you and look forward to building a long-term working relationship. Kind regards, Ben Jackson Jetjams Technologies

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@iwebphpdeveloper

Hello, I have experience supporting AI data annotation projects involving video, audio, and multimodal datasets, including transcription, dialogue tagging, sound event labeling, and visual action annotation. I'm comfortable working with detailed guidelines and maintaining accuracy and consistency across large annotation tasks. I pay close attention to detail and ensure every spoken word, ambient sound, gesture, and key visual cue is annotated according to the required taxonomy. I'm familiar with structured annotation workflows and quality assurance processes used on platforms like Outlier, DataAnnotation, Appen, and Remotasks. While I haven't worked directly with Handshake AI's Project Gaffer guidelines, I'm a quick learner and adapt easily to new annotation standards. I'd be happy to complete the paid trial and demonstrate the accuracy and reliability you're looking for. Best Regards, Abhijeet

@Lazarone1

hello, i understand the core need is to create accurate ai training data through detailed video annotation including speech, contextual sounds and visual actions. i can provide consistent labeling based on your taxonomy, follow quality guidelines carefully and deliver structured annotation files with reliable accuracy and timely completion. could you share the annotation format and expected weekly workload so i can confirm the suitable workflow and available hours?

@invoketech

Hello! We have reviewed your requirements and understand the importance of accurate, consistent annotations for AI training datasets. I have experience working with AI data labeling, content annotation, quality assurance, and structured dataset preparation. I am comfortable following detailed annotation guidelines, maintaining high accuracy, and delivering consistent outputs within deadlines. **Experience & Skills:** • Video, Image & Text Annotation • Speech & Dialogue Transcription • Action & Scene Labeling • Audio Event & Ambient Sound Annotation • AI Training Data Quality Assurance • Experience with Annotation Guidelines & Taxonomies • Familiar with platforms such as Appen, TELUS, Remotasks, and similar AI data labeling workflows **Availability:** • Available **30–40 hours per week** • Able to start immediately • Consistent on-time delivery with attention to detail While I haven't worked directly with Handshake AI's Project Gaffer, I am experienced in learning new annotation schemas quickly and following detailed labeling standards with a strong focus on quality and consistency. I look forward to participating in the paid trial and demonstrating the accuracy and reliability of my work. Thanks, InvokeTech

@inertiasoftltd

My extensive experience in AI Model Development and familiarisation with platforms such as Outlier and DataAnnotation make me an excellent fit for this project. I specialize in the creation of fluent and effective designs that are user-friendly and intuitive, which I believe is a vital aspect for this Instructional Video Annotation project. Over the course of my career, I've worked on several annotation projects that involved identifying visual nuances, audio cues, and dialogues - crucial skills precisely parallel to what your project requires. Additionally, while I'm not specifically familiar with Handshake AI's Project Gaffer convention, I have the technical prowess to swiftly adapt to any similar schema.

@naseeb1995

Hello I reviewed your project AI Instructional Video Annotation and believe I can provide significant value. I have experience creating AI-powered workflows, automation systems, intelligent chatbots, CRM integrations, and custom AI solutions. My approach is centered around building practical, scalable, and reliable systems that improve productivity and support business growth. I am committed to delivering quality work and maintaining excellent communication. Best Regards, Naseeb A.

@softwarelinkerrs

With my vast experience as a professional video editor and the technical skills I possess, I believe I am the perfect fit for your project. Over the past 6+ years, I have created and edited numerous YouTube videos, podcasts, social media content, and more. This extensive experience has not only honed my video editing skills but also improved my attention to detail. I understand that in your project precision is crucial. My expertise in using Adobe Premiere Pro, After Effects, DaVinci Resolve, Photoshop, and Audition will enable me to label and annotate every spoken word and dialogue tag precisely. My mastery over motion graphics and animations will be valuable in noting visible actions accurately. Additionally, my excellent audio cleanup and enhancement skills can ensure all meaningful background or ambient sounds aren't missed. As for my availability, I can commit a significant number of hours each week to your project to meet deadlines without compromising quality. Though not familiar with Handshake AI specifically, my wide range of industry experience has equipped me with adaptability when it comes to different tools or platforms. In conclusion, if you want an efficient professional who delivers nothing short of excellence- choose me!

@FloatingFish29

A training model learns to recognize "door closing" only if every annotator tagged it the same consistent way across thousands of clips — one inconsistent label and that cue gets diluted instead of learned. Precision at scale is the entire value of this work. I understood the brief: this isn't loose transcription, it's structured multi-layer annotation — dialogue, ambient sound, and visual action all tagged to a strict taxonomy so the model receives clean, consistent training signal, not just accurate description. Here's how it unfolds: I'll start by studying your guidelines and label taxonomy closely before touching a single clip, then work through each video methodically—transcribing spoken word first, layering in ambient sound cues, then noting visible actions and gestures with concise, guideline-compliant phrasing. Each completed file gets run through a self-check against your checklist before submission through your portal. Every annotation I submit gets checked twice against the taxonomy before it goes out — consistency across a batch matters more than speed, since one drifted label can ripple through model training. Happy to start with your paid trial set to demonstrate accuracy and turnaround firsthand. Commitment: 35- 40 hrs/week available. Familiar with Outlier and DataAnnotation conventions, comfortable picking up Project Gaffer's schema quickly. Let's get your training data annotated right the first time. — Christina

@alizain721

Hi, I can accurately annotate large batches of short instructional videos to capture every spoken word, ambient sound, and fine visual cue. I annotated 1,200 short instructional clips on Outlier, producing time aligned word transcripts, ambient sound labels, and gesture notes using their schema. I have used Appen and Remotasks style labeling tools and am familiar with Handshake AI Project Gaffer conventions. I can commit about 25 to 30 hours per week and will deliver the required annotation file plus a brief quality check checklist on time. Do you require word level timestamps or phrase level timestamps? Happy to jump on a quick chat. Ali Zain

@anglesh

Hi, I have experience working on data annotation and quality assurance tasks involving text, images, and multimedia datasets. I'm comfortable following detailed guidelines, maintaining high accuracy, and using structured annotation tools. I can commit 30–40 hours per week, and while I haven't worked directly with Handshake AI, I'm familiar with similar annotation workflows from platforms like Outlier and Appen and can adapt quickly.

@phlipj

Hello, I'm interested in your annotation project and have experience handling large-scale labeling tasks that require consistency and attention to detail. I've worked with structured annotation platforms and always follow taxonomy and QA guidelines carefully. I can dedicate 25–35 hours weekly and am confident learning Handshake AI conventions quickly.

@williamh725

Hello, I have a strong eye for detail and experience completing annotation and data labeling tasks with strict quality requirements. I'm comfortable working with videos, transcripts, and structured taxonomies while meeting deadlines consistently. I can dedicate 30+ hours per week, and although I haven't used Handshake AI specifically, I'm experienced with comparable annotation schemas and tools.

@jamesh820

Hi, I'd love to assist with your video annotation project. I have experience following detailed labeling guidelines, performing quality checks, and delivering accurate annotations for AI training datasets. I can commit 30–40 hours each week and can quickly adapt to Handshake AI's Project Gaffer conventions using your provided documentation.

@arturg6

Hello, "Detailed Multi-Modal Video Annotation" - you need precise labels for training models. I will use a time‑coded spreadsheet with validation formulas, because it guarantees consistent, searchable records. I delivered 200 verified dental clinic leads with clean CSV, showing my data collection and quality‑check process: https://www.freelancer.com/projects/data-collection/Polish-Dental-Clinics-Business-Leads/reviews I also handle overlapping speech and background sounds by using dual‑track notes, ensuring no cue is missed. Could you share a sample guideline file so I can align my annotation format exactly? Looking forward to working with you. Artur Giżycki

@bojans9

Hi there I understand you need every spoken word dialogue tag ambient sound and visual action tagged precisely for your training models. I will follow the Handshake AI Gaffer guidelines, use Python and OpenCV to extract timestamps, and deliver the annotation file in the required format together with a QC checklist. My recent work involved labeling short instructional videos for a computer vision project using label taxonomies similar to yours and I am comfortable with the same schema. I can commit 20 hours each week and have already studied Handshake AI conventions Could you confirm the exact file format you expect for the annotations Are timecodes required to the millisecond or second How many clips will each batch contain Looking forward to starting the paid trial