AI Instructional Video Annotation

@RusianD

Hey there, I hope this proposal finds you well. Firstly, let me express my enthusiasm and confidence in undertaking this project. With over 10 years experience in AI annotation and expertise in frameworks like LLM, RAG, and Chatbot, I am well-equipped to ensure the accuracy and nuances you require to advance your instructional video models. My prior experiences include successful completion of similar annotation projects using platforms like Outlier, DataAnnotation, TELUS, as well as creating unique solutions using Handshake AI's project Gaffer conventions. Drawing from my extensive knowledge of JavaScript Frameworks both on the front and backend, I can assure you of an efficient and streamlined process. Moreover, I am no stranger to meeting deadlines having used Git for version control and Jira for project management multiple times. Let's take advantage of my background in integrating various AI technologies, such as LLM, RAG, Chatbot (and more) to bring your project to life. I feel excited about working with your dataset and delivering meaningful results efficiently. Thank you for considering my profile; I look forward to proceeding to a paid trial set so we can hit the ground running!

@adriank06

Got it. I see you need precision annotation for training models, specifically handling speech, ambient sound, and visual cues using the Handshake AI conventions. I’ve handled similar high-volume annotation tasks on DataAnnotation and Remotasks, so I’m familiar with the rigor required. I’ve successfully managed projects involving complex multi-modal data, ensuring strict adherence to label taxonomies to minimize model noise. I can dedicate 20 hours a week to this and am ready to dive into the guidelines immediately. Since I know the importance of quality over speed in training data, let’s chat briefly to confirm the schema details and get you a sample turnaround. I’m available for a quick call whenever works for you.

@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

@bhokartik04

I have a large batch of short instructional videos that must be thoroughly annotated so our training models can pick up every meaningful cue. For each clip you’ll mark: • every spoken word and dialogue tag • all background or ambient sounds that carry context (machines humming, doors closing, etc.) • concise notes on visible actions, gestures, and other key visual details A comprehensive set of step-by-step guidelines, sample files, and a label taxonomy will be supplied before you begin, so you can focus on accuracy rather than interpretation. Handshake AI’s Project Gaffer conventions form the backbone of the workflow; if you know them already you’ll feel right at home, but solid experience on platforms such as Outlier, DataAnnotation, Appen, TELUS, or Remotasks is equally valuable. Deliverables per assignment: • a fully completed annotation file in the prescribed format • a brief quality-check checklist confirming guideline compliance • on-time submission through the designated portal When you reply, please include: 1. a short overview of your past annotation projects and the tools used 2. approximate hours you can commit each week 3. any familiarity with Handshake AI or similar schema I’ll review responses on a rolling basis and share a paid trial set with shortlisted annotators so we can get started quickly.

@sufyanasmat38

As a member of the Fourge team, I bring extensive expertise in AI and machine learning solutions that will be incredibly beneficial to your AI instructional video annotation project. Having successfully handled numerous annotation projects across different industries, using diverse AI platforms such as Outlier, DataAnnotation, and Appen just to mention a few, my understanding of the workflow and guidelines will aid efficient and accurate annotation ensuring high-quality deliverables for each assignment. At Fourge, we understand the essence of time management and delivering tasks on schedule. As such, I can commit a substantial amount of time each week to your project; long enough to ensure every spoken word and dialogue tag, relevant background and ambient sounds as well as key visual details are thoroughly annotated. Though not directly familiar with Handshake AI's Project Gaffer conventions, I am always excited about embracing new concepts. Backed by my adaptability skills and hands-on experience in working with different AI schema including writing custom models when required, I am confident in quickly adapting to any approach that resonates best with your project requirements. Ultimately, hiring me means choosing an experienced professional who can handle any aspect of the AI ecosystem right from conception to deployment ensuring your video annotations stand out for their reliability and accuracy.

@ferydatulmo

Dear Hiring Team, I am interested in contributing to your video annotation project. I have experience working as an AI Trainer and Data Annotator, where I performed high-quality data annotation, response evaluation, transcription validation, and labeling tasks for large language model training. My previous annotation projects include speech-to-speech conversation evaluation, transcription and ASR validation, response quality assessment (RLHF), and multimodal annotation involving audio and text. I have worked with platforms such as RWS, Outlier, and other AI data annotation environments, following detailed annotation guidelines while maintaining accuracy, consistency, and timely delivery. Availability: I can dedicate up to 40 hours per week and can maintain a consistent schedule to meet project deadlines.

@mahads31

As a seasoned professional in AI with a strong background in both hardware and software, I possess the intricate understanding and technical expertise necessary to excel in your project. Specifically, my knowledge of working on platforms like Outlier, DataAnnotation, Appen, TELUS, and Remotasks make me well-acquainted with the task at hand. I am equally skilled in leveraging Handshake AI’s Project Gaffer, or similar schema, guaranteeing a seamless transition into your workflow. Over the years, I’ve been involved in numerous annotation projects where precision and adherence to guidelines were paramount. In fact, I’ve closely worked on analogous projects requiring comprehensive annotation slash classification like this one. Drawing from these experiences will undoubtedly reduce any learning curve and ensure prompt and accurate delivery of your annotated files. Undoubtedly, my commitment is highest when it comes to my client's needs. Batch processing is definitely something I can handle - approximate hours per week for this particular project ranges from 30-40 hours. Beyond just executing tasks on time, I have an integrative mindset; I align my work with your long-term business growth goals.

@manishgrwl

Hello, I'm very interested in assisting with your instructional video annotation project. I have strong experience working on AI data labeling and content analysis tasks that require high attention to detail, consistency, and adherence to strict annotation guidelines. **1. Annotation Experience & Tools** I've worked on annotation projects involving video, image, and text data for AI model training. My experience includes annotating spoken dialogue, identifying background sounds, labeling visual actions, and performing quality checks according to detailed taxonomies. I'm comfortable using annotation platforms and have experience following structured guidelines to ensure accurate, consistent outputs. **2. Availability** I can dedicate **30–40 hours per week** and can scale up if needed to meet project deadlines. I'm committed to delivering high-quality work with on-time submissions. **3. Familiarity with Handshake AI / Similar Schema** While I haven't worked directly with Handshake AI's Project Gaffer, I have experience adapting quickly to annotation standards used by AI training platforms and am confident I can follow your provided guidelines precisely. My background with structured annotation workflows enables me to become productive quickly. Thank you for your time and consideration. I look forward to the opportunity to contribute to your project. Best regards, Manish A.

@mithund27

"Hi! I have great attention to detail and strong proficiency in data/video annotation. I can accurately follow guidelines, label instructional videos, and deliver high-quality work within your timeframe. I'm ready to start immediately and look forward to working with you!"

@mommin1

I have extensive experience in high-precision video annotation, including dialogue, ambient sound, and visual action labeling on platforms like Outlier and DataAnnotation. I am highly accurate, detail-oriented, and accustomed to following complex label taxonomies and quality-control checklists. 1. Experience: I have successfully completed multiple multi-modal annotation projects, consistently meeting strict guidelines and deadlines. 2. Availability: I can commit to [Insert Number] hours per week. 3. Schema Familiarity: I am a fast learner comfortable adapting to specific workflows and am eager to adopt the Handshake AI Project Gaffer conventions. I am ready to start with a trial set immediately and look forward to contributing to your training models.

@Laibakashif21

Hi, This project is a great fit for someone who is detail-oriented and consistent. I understand that high-quality annotation isn't just about labeling what's obvious—it's about following the schema precisely so every transcript, sound, and visual cue is captured accurately for model training. **✔ Here's what I can deliver:** * Accurately annotate spoken dialogue, ambient sounds, actions, gestures, and visual events according to your guidelines * Follow detailed taxonomies and annotation instructions with strong attention to consistency * Complete a quality-check checklist for every assignment before submission * Deliver files in the required format and meet deadlines reliably * Communicate proactively if any edge cases or guideline ambiguities arise I've worked on projects that required meticulous review of visual and audio content, including video quality control, content categorization, transcription support, and media analysis. I'm comfortable learning new annotation schemas and adapting quickly to platform-specific guidelines. **Availability:** **30–40 hours per week**, with flexibility for larger workloads if needed. **Handshake AI Familiarity:** While I haven't worked directly with Project Gaffer, I have experience following structured annotation guidelines and quality standards, and I'm confident I can get up to speed quickly using your documentation and paid trial set. Portfolio: https://www.freelancer.com/u/Laibakashif21 Best regards, Laiba

@himanshub7004

Dear Client, I am interested in your Data Annotation project and would be happy to contribute my skills and experience. I have 3.5+ years of professional experience in Data Annotation and have worked on various AI and machine learning datasets involving image, text, and video annotation. Currently, I am working as a Junior Engineer – Data Annotation and also serve as a QC Team Lead, where I review annotations, ensure data quality, maintain accuracy, and guide the team to meet project standards. My expertise includes: Image, text, and video annotation Data labeling and classification Quality Control (QC) and annotation review Following detailed project guidelines Delivering accurate, high-quality work on time I am detail-oriented, reliable, and committed to maintaining high-quality standards while meeting deadlines. I can quickly adapt to new annotation tools and project requirements and always strive to deliver consistent and error-free results. I am available to start immediately and would welcome the opportunity to discuss your project in more detail. I am confident that my experience and quality-focused approach will make me a valuable addition to your team. Thank you for your time and consideration. I look forward to working with you. Best regards, Himanshu Singh Bisht Junior Engineer – Data Annotation (QC Team Lead)

@manaswini55

Hello, I'm interested in this opportunity. I'm currently a PhD researcher preparing to submit my thesis, where I've developed strong attention to detail, consistency, and the ability to follow complex guidelines accurately. While I haven't worked with Handshake AI's Project Gaffer or on professional annotation platforms, I have extensive experience creating and reviewing AI-generated videos. My work involves carefully checking dialogue, subtitles, scene transitions, visual continuity, animations, sound effects, and overall quality, which has given me a solid foundation for video annotation. I learn new workflows quickly and am committed to producing accurate, consistent annotations. 1. Past annotation projects and tools: I don't have professional annotation experience, but my research and AI video production require meticulous review of visual and audio content, detailed documentation, and strict adherence to protocols. 2. Weekly availability: I can commit 20–25 hours per week (around 3 hours on weekdays and up to 6 hours on weekends) with consistent availability. 3. Familiarity with Handshake AI: I haven't used Project Gaffer directly, but I'm confident I can learn the workflow quickly and follow annotation guidelines with high accuracy. I'd be happy to complete the paid trial and demonstrate my attention to detail. Thank you for your consideration.

@guptakishan805

Having worked extensively in the field of AI development, I believe I possess a unique skill set that makes me an ideal candidate for annotating your instructional videos. Over the course of my 5+ years in software and application development, I've refined my ability to understand and implement comprehensive guidelines precisely. My past projects have required working with semantic tagging, and while I'm not specifically familiar with Handshake AI, my adaptability is a valuable asset in quickly learning new schema. I'm no stranger to tight deadlines and understand the importance of providing quality work well within time constraints. With your clear project timeline, I can also provide you with a concrete estimate of how many hours each week I will dedicate to your project. Moreover, having also worked on similar annotation tasks using tools like Appen and Remotasks, I'm aware of the careful attention to detail required for such tasks. Beyond just being able to accurately complete tasks according to guideline specifics, my holistic approach extends to identifying areas where the workflow can be enhanced - whether it is clarity or process efficiency. I value communication highly and will engage collaboratively to ensure an optimal workflow that aligns with your goals. Choose me for a professional partnership fortified by a forward-thinking approach and successful history of turning client ideas into reliable digital products.

@remiel017

Hello, I'm interested in this project and have over 6 years of experience in AI data annotation, quality assurance, and AI training data. I've worked on computer vision, satellite imagery, video, blueprint, and 3D LiDAR annotation projects, as well as LLM evaluation and language quality assessment. I have experience using CVAT, Label Studio, and proprietary annotation platforms, and have contributed to AI projects through platforms such as Remotasks, Outlier, and similar AI data annotation environments. My work includes annotation, QA/QC, guideline compliance, and reviewing AI-generated content for accuracy and consistency. 1. Past annotation projects & tools: Image, video, LiDAR, and geospatial annotation, QA review, and LLM evaluation using CVAT, Label Studio, and proprietary tools. 2. Availability: Up to 40 hours per week, with flexibility based on project needs. 3. Handshake AI familiarity: I haven't worked directly with Project Gaffer, but I'm experienced in learning detailed annotation schemas and can quickly adapt to new workflows and guidelines. I'm detail-oriented, reliable, and committed to delivering accurate, high-quality annotations with on-time submissions. I'd be happy to complete the paid trial and look forward to contributing to your project. Thank you for your time and consideration.

@donapakray102

Ok so I have experienced in data annotation. As a data annotator I label and classify images, text, and other data to help train AI and machine learning models. My work includes following annotation guideline, identifying objects or categories accurately. Performing quality checks, and ensuring the dataset is consistent and error-free. I pay close attention to detail and complete tasks within deadline while maintaining high accuracy.