With her new computer equipment, Ayu took courses in marketing, virtual assistance and content creation with the aim of becoming a freelancer.
Victory was able to take online courses to specialize and improve her skills in her field: information and communication technologies.
Passionate about fashion, Fatou has created her own brand of clothing and accessories. She shares her creations on her social networks, and the next step is to open her own boutique!
Maria's project is to develop and launch a mobile app to offer free yoga classes to users all over the world.
Oumaima graduated with a degree in engineering and is currently dividing her time between her master's studies, her job as a cybersecurity engineer, and managing her startup TuniAOS.
Once the prototypes had been made, O'prah launched production of the very first collection of her new leather goods brand!
Andréa would like to open a training center on customer relationship management and work skills, and is currently taking courses in this field.
Today, Augustine is the owner of a store selling non-perishable food and grocery products, which she has named "Foody's Hub".
After 5 years studying psychology and obtaining her Master's degree, Juliette's next goal is to open her own psychology practice.
Julienne graduated with a Master's degree in translation and interpreting. She’s now about to preparing to take on internships to gain experience and, eventually, work for herself.
More than 1500 women are working every day - and as many different profiles - all having the same goal: to make your annotation and LLM fine-tuning projects a success.
1500 women work every day to help you scale up your annotation projects, incorporating cutting-edge RLHF techniques.
Our community comes from 20+ countries and speaks 15+ languages. This diversity ensures that we reflect the real world, enhancing the performance of AI models across various cultures.
We set up a continuous coaching and a minimum of 4 hours of training per person and per project with specialized modules for tasks like fine-tuning for LLM training.
One goal for all: succeeding in your annotation projects while gaining new skills that directly contribute to the development of GenAI technologies.
Impact is at the heart of our model. Embrace our mission and make outsourcing different by integrating ethical practices into the development of your AI models.
Historically, outsourcing brought flexibility but the status of contributors stayed too precarious.
You can choose to make a positive impact with your outsourcing by supporting the training of a workforce that contributes directly to LLM fine-tuning and AI development.
Isahit partners with local organizations in every country in which we operate such as Universities, NGOs, associations to find new qualified candidates matching our selection criteria.
We count hundreds of local partners who introduce isahit to students and associations.
Our application process (onboarding and skill testing) enables us to build a qualified, multi-cultural, and multilingual workforce that meets your specific needs, whether for basic annotation or advanced LLM training.
We launched a free and very complete training module for our community to efficiently train for our clients' projects, from basic data tasks to advanced LLM fine-tuning, while gaining digital skills.
A range of 7 trainings to get to know our platform, know how to organize their time and how to work efficiently on our projects, including RLHF and HITL processes.
35 trainings to develop digital skills (image annotation, text classification…) to reach the best annotation quality in our client’s projects, ensuring your AI models benefit from precise, high-quality data.
Collaboration is one of our core values, and we ensure that it shines through our entire ecosystem.
We have one and only objective: to help our clients reach the best quality on their projects and to allow annotators to reach financial and professional autonomy. This teamwork approach is crucial for effective HITL processes in GenAI projects.
Before starting a project, each annotator is trained by our team to ensure the best understanding on the project, especially for tasks involving LLM fine-tuning or RLHF.
Each project is managed by a dedicated delivery manager who supports our workforce on a daily basis, ensuring that your AI projects receive the necessary human touch.
We generate specific KPIs to assess our workforce progress on the project, including metrics crucial for LLM training and HITL efficacy.
Describe your project and access our on-demand workforce. With an ethical touch.
Start a Small Data Labeling Project for Free, right now, thanks to our user-friendly annotation tool!
Learn more about our Community, our job opportunities and start making money while learning new skills.