U.S. AI Training Partner Needed

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Photoshop, Software Architecture, Machine Learning (ML), AI Model Development, AI Development, AI Training Data, Data Annotation and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@badarmadni927

Hi — Badar Madni here. I see you're looking to collaborate with a skilled professional to co-design and implement AI model training and data annotation projects. Your goal is to create a successful partnership that yields high-quality results and mutual benefits. The tricky part is finding the right balance between annotating datasets and training AI models, as this requires a deep understanding of both the technical and practical aspects of the projects. What usually matters most is the ability to work independently and make sound decisions, while also being able to communicate effectively and efficiently. This balance is crucial to achieving the desired outcomes. I would approach this project by leveraging my technical expertise in AI and data annotation, combined with my experience in working with similar platforms, to design and implement effective label functions and data curation strategies. Having worked on similar projects in the past, I am familiar with the importance of attention to detail and the need for iterative model training and evaluation. A few questions to better understand the scope: Q1 – What is the expected format for documenting label functions and labeling guidelines? Q2 – How will the performance metrics be tracked and evaluated? Q3 – Are there any specific requirements for the version control system to be used? Happy to go through the details and suggest the best approach. Looking forward to hearing from you. Badar Madni

@ShaikhAneesa

Hello, I have thoroughly reviewed the project requirements for the U.S. AI Training Partner role, and I am excited about the opportunity to collaborate on ongoing AI model-training and data-annotation tasks using platforms like Snorkel AI and Outlier AI. Let's chat and discuss it further. To handle your project, I will start with collaborating on label functions, curating and annotating data, conducting iterative model training, and monitoring performance metrics. I will utilize my expertise in AI, data labeling, and machine learning, and I am familiar with working on platforms like Snorkel AI and Outlier AI. My approach involves maintaining a version-controlled dataset, providing documented label functions, and delivering a trained model checkpoint with an evaluation report. The deliverables for each assignment will include a clean, version-controlled dataset with annotations, documented label functions or guidelines, and a trained model checkpoint with an evaluation report. Before signing-off my bid, I would like to ask a question, i.e., Are there any specific security protocols or compliance measures that need to be followed while working on datasets under U.S. regulations? Best Regards, Aneesa.

@mahads31

To start, let me assure you that I meet the U.S. residency requirement and am familiar with both Snorkel AI and Outlier AI. As a seasoned software architect and AI Developer, I have gained hands-on experience with various machine learning libraries in Python such as scikit-learn, TensorFlow, PyTorch - making me well-equipped to take on the initial briefs, build custom preprocessing tools or handle evaluations attending to your dynamic project needs. Moreover, my extensive competence in AI Development extends beyond source code writing alone. I understand a comprehensive AI workflow entails more than just modeling; it involves data acquisition, preprocessing, labeling and thorough documentation. My deft hand at these stages will ensure you not only receive meticulously labeled datasets but detailed documentation containing guidelines and workflow instructions aiding in future tasks even without my assistance. Lastly, being based in the U.S myself means I'm readily available whenever you might need me. My reliable internet connection guarantees I can keep pace with your frequent updates while ensuring efficient collaboration on Slack. So not only do I satisfy the crucial criteria for this project but my skills and adaptability make me an ideal addition to your revenue-sharing team; driving impactful results through effective communication and diligent effort.

@alizain721

Hi, I can join as your U.S. AI training partner and work inside Snorkel AI and Outlier AI on label functions, data curation, iterative training and small Python notebooks for preprocessing and evaluation. I am a U.S. citizen. I implemented Snorkel label functions and trained models on a 25,000 sample dataset, delivering a version controlled annotated dataset and model checkpoints. I am available 20 hours per week, have steady internet, and am comfortable with asynchronous Slack updates plus a short weekly sync. Which platform should we start with, Snorkel AI or Outlier AI? Happy to jump on a quick chat. Ali Zain

@rakhshanz3

As a highly experienced AI and Machine Learning expert with over two decades of professional work under my belt, I am convinced that I am the strong fit you're looking for. Not only do I hold a PhD in Artificial Intelligence, but I have also contributed significantly to computer science both in industry and academia. Throughout my career, I have led teams in running iterative model training, dataset curation, and annotation - all central themes of this project. Being involved in end-to-end technical development, including multiple advanced digital products powered by AI, has given me the ability to handle multiple platforms proficiently. Taking this into account, adjusting to your chosen platforms of Snorkel AI or Outlier AI will be no challenge for me. Moreover, our visions align perfectly when it comes to project execution and compensation. Splitting revenue based on work performed ensures that we both have skin in the game. With strong mentorship capabilities, I will ensure your ramp-up will be both quick and effective. As a US citizen myself, I meet the crucial residency requirement further edging me closer as the ideal match for what you need on this journey of entrepreneurship.

@emilesd617

Hi, I am a full-stack AI developer with 8 years of rich experience in software development, with a background in . I am familiar with Python, Machine Learning, AI Model Development, AI Development, AI Training Data, Data Annotation, Software Architecture, and AI model evaluation. For this project, I can support data annotation, develop and refine label functions, assist with AI model training and evaluation, and build reliable Python workflows to improve dataset quality and model performance while maintaining clear documentation throughout the process. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@billybryan98

Hello there. I hope you are donig well. I have hands-on experience with Python and data annotation, having previously collaborated on machine learning projects that required meticulous data preparation and model training. This background equips me to efficiently contribute to your AI training initiatives. I understand the importance of curating and annotating datasets under U.S. regulations. My approach includes leveraging Snorkel AI and Outlier AI for effective label function design, ensuring compliance and quality throughout the process. I will provide high-quality annotated datasets, well-documented label functions, and trained model checkpoints. My commitment to excellence ensures that our collaborative efforts yield reliable results and foster a long-term partnership. Please feel free to reach out to me. I look forward to working with you. Best regards, Billy Bryan

@manishSuryaR

Hello. This is Bravion from Cleveland. My approach to this project involves designing precise label functions collaboratively to ensure data quality, using Python for custom preprocessing and evaluation to optimize model training, and maintaining version-controlled datasets to keep the workflow organized and transparent. I will leverage my experience in AI model training and data annotation to quickly adapt to Snorkel AI and Outlier AI platforms while ensuring steady communication and timely updates. To clarify, do you have preferred tools for version control and documentation, and how frequent are the sync calls expected beyond the weekly meeting? If you want high-quality results, please do not hesitate to contact me.

@melopgabriel

Hi, your project is a good fit for someone who can help with ongoing label function design, data annotation, and iterative model training inside Snorkel AI or Outlier AI. I’ve worked on similar data labeling and model evaluation tasks, including Python-based preprocessing and quality checks. I’m comfortable collaborating asynchronously, keeping datasets organized, and documenting clear labeling guidelines so work stays consistent as updates move fast. My approach would be to learn your workflow quickly, contribute on annotation and training tasks, and keep performance tracking clean and version-controlled. I value reliable communication and steady availability, which matters for a long-term revenue-sharing setup. If you’d like, I can share a short note on my availability and relevant experience. Best regards, Gabriel

@revival786

As a skilled AI Developer and Machine Learning expert with a deep understanding of Python, I’m well-prepared to tackle the training and annotation aspects of your project. Over the past years, I have been actively involved in developing AI models and working with data labelling on Snorkel AI and Outlier AI. This will enable me to seamlessly curate, annotate, and run iterative model training tasks for your datasets, while ensuring high-quality outcomes. In addition to my technical proficiency, I boast an impressive 16+ years' experience as a writer—a skill set that fosters excellent communication abilities in writing and verbal expression. Paired with our asynchronous communication via Slack and brief weekly call to sync-up, this will guarantee smooth collaboration despite time differences. Furthermore, my experience includes working on projects with revenue-sharing incentive models—meaning I understand the value of distribution based on effort. With each assignment we fulfill together, I'm committed to guaranteeing concise deliverables: a clean dataset with annotations, documented label functions or labeling guidelines, trained model checkpoint alongside an evaluation report that highlights performance metrics. Let's partner together to create not just fantastic AI products but also a long-lasting relationship built on trust and exemplary outcomes!

@shawanay

Good day, I see you're looking for a long term collaborator to support AI model training and data annotation projects on platforms like Snorkel AI and Outlier AI. I can assist with data labeling, workflow management, and model evaluation while ensuring consistent communication and quality. With 5+ years of experience in AI data processing and web technologies, I can contribute to annotation tasks, Python based preprocessing, and structured workflows to help deliver reliable results. Are you open to working with collaborators outside the U.S. if they have the required skills? Regards, Shawana

@Tacticssoft

Hello, I am interested in joining your long-term revenue-sharing AI data and model-training team. I have experience with AI, data annotation, dataset preparation, Python, machine-learning workflows, and evaluation processes. I am comfortable working with structured labeling tasks, quality control, documentation, and iterative model improvement. I can learn and work efficiently with platforms such as Snorkel AI and Outlier AI, including label functions and annotation workflows. I understand the importance of clean, version-controlled datasets and well-documented labeling guidelines. I can also assist with Python notebooks for preprocessing, data analysis, evaluation, and custom automation when required. I am comfortable working asynchronously through Slack and maintaining reliable communication with weekly sync meetings. I am available for consistent ongoing collaboration and can contribute reliably to frequent project updates. I meet the requirement of being legally authorised to work in the United States and can provide confirmation if required. I am interested in a long-term partnership and would be happy to discuss my availability, relevant experience, and the revenue-sharing structure.

@longngoc2307

Greetings, I checked your project “U.S. AI Training Partner Needed” including description “I’m building a small, revenue-sharing team that tackles ongoing AI model-training and data-annotation work on platforms such as Snorkel AI and Outlier AI..................” I understand your brief and can contribute to AI data workflows, annotation processes, and model improvement tasks with reliable communication. I focus on delivering quality work by carefully following requirements and maintaining consistency. I’d focus on the hardest part: creating accurate training data and evaluation workflows while keeping annotations, guidelines, and model feedback organized for continuous improvement. Operationally, I'll: Review project requirements and labeling guidelines Prepare and validate datasets with consistent annotations Support Python-based preprocessing and evaluation tasks Document workflows and track improvements I aim for a long-term working relationship to grow together on future AI training projects.

@ahmaddar2970

Engaging in pioneering AI training efforts requires precision, expertise, and strategic collaboration. I bring a comprehensive understanding of data annotation, AI model training, and the agile use of platforms like Snorkel AI and Outlier AI, complemented by a foundational grasp of machine learning principles. My steady availability and robust internet connectivity ensure seamless, ongoing collaboration. As we co-design label functions, curate datasets, and iterate models, I will provide meticulously annotated, version-controlled datasets, detailed labeling guidelines, and concise evaluation reports. How do you envision your ideal collaboration framework to optimize data annotation and model training synergy? I am dedicated to forging a long-term, mutually rewarding partnership, sharing in the revenue from our collective successes. Together, we can shape effective, compliant AI models that lead the industry.

@amadorjay

Hi there, The hard part isn't just the model training; it’s ensuring that annotation meets regulatory standards while being efficient. Collaborating on Snorkel AI and Outlier AI requires precise label functions and iterative training, which can be time-sensitive. I'm comfortable with Python for preprocessing and can help streamline the data curation process. Could you clarify the expected weekly commitment for this role? Thank you.

@copulas

COPULAS Co., Ltd. is a Tokyo-based bilingual development team with 15+ years of experience in AI, web, and software development. We understand that successful AI training projects require accuracy, consistency, strong version control, and reliable communication—qualities our team delivers every day. Our expertise includes AI model training, data annotation, LLM integration, workflow automation, and full-stack development. We take a detail-oriented approach to every task, ensuring high-quality data and dependable results that improve AI performance. We work comfortably in international environments and collaborate efficiently through Slack, Git, and regular progress meetings. Clear communication, timely delivery, and transparency are at the core of how we work. More than completing tasks, we aim to build long-term partnerships. If selected, you'll gain a reliable technical team committed to quality, continuous support, and helping your AI initiatives succeed. We look forward to contributing to your project and growing together.

@Jurasicutomation

Hello, I’m a Full Stack Developer with 8+ years of experience in Python, AI tools, data processing, automation, and machine learning workflows. I have worked with AI-powered applications, API integrations, dataset preparation, and model evaluation, and I’m comfortable collaborating in distributed teams using Git and Slack. Your long-term partnership model is very interesting. I’m available to contribute to data annotation, label function development, dataset validation, Python preprocessing, and model evaluation while maintaining high-quality documentation and version control. I’m also comfortable with regular updates and weekly sync meetings. I’m available to dedicate consistent hours each week and can start immediately. I’d be happy to discuss how we can work together and contribute to the success of your AI training projects.

@trb2004

❤️Hi there❤️ I am excited about the opportunity to collaborate on ongoing AI model training and data annotation projects. My experience aligns perfectly with your requirements, and I am confident in providing high-quality deliverables within your specified timeline. I invite you to take a look at my profile for more details. Your project entails co-designing label functions, curating data, model training, and performance tracking. I am well-versed in AI and machine learning, making me a strong fit for this role. I look forward to discussing how we can work together efficiently. If the residency requirement aligns, I am available to kickstart this partnership. Let's connect to explore this collaboration further. I am eager to contribute to your team's success. Warm regards, Thaveesha