By clicking “Accept”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.
Pamela
Prompt Training

Data Labeling for Generative AI & LLMs development

We put the power of Human-in-the-Loop (HITL) and Reinforcement Learning from Human Feedback (RLHF) into your development processes of Generative AI Models and Language Models (LLMs), ensuring precision and adaptability in fine-tuning your AI systems.

Explore new possibilities in Generative AI & LLMs 
with our advanced data labeling workflows.

With years of experience collaborating with AI developers, innovation teams, and tech companies, we excel in optimizing Generative AI models. From the basics of collecting and labeling training data to the complexities of fine-tuning and refining algorithms, our data labeling workflows ensure your GenAI models are effective, agile, and precise.

We specialize in prompt engineering and understand the necessity of a human touch in data labeling for Generative AI. Our approach ensures that your AI models are fine-tuned with accurate, well-labeled datasets, creating realistic and authentic content. Count on us to enhance your Generative AI models by employing human moderation to detect offensive content, prioritize language model safety, and balance ethics with efficiency.

It's not just about labeling.
To create innovative products, our skilled team goes beyond data collection and labeling. We actively enhance datasets and assist in the refinement of algorithms. Whether you're working with foundation LLMs or pre-trained GenAI models, accurate data labeling guarantees a balanced representation and real-world application. Human input, combined with RLHF, is crucial for safety, bias detection, and prompt optimization.

How our HITL and RLHF Workflows
will enhance your Generative AI and LLMs models.

1.
We Collect (pre-train)

We collect and get a lot of data from wherever you want. Then our labelers do the cleaning part. We want for you to start your models based on the best data mix.

2.
We Label (fine-tuning)

Great labeling is essential for fine-tuning your Generative AI models. Building strong LLMs requires accurately tagged queries and prompts, ensuring better dialogue interactions between humans and machines. Our expertise in prompt engineering plays a key role in this process.

3.
We Correct (HITL/RLHF)

We use RLHF and HITL to evaluate and refine LLMs, ensuring the output is accurate and relevant. This expertise enhances your AI and machine learning models through verification, evaluation, and correction of prompts and generated content, leading to better fine-tuning results.

Data Labeling Workflows built with Ethics.
Everything you need to get your data perfectly labeled, from prompt engineering to model evaluation.

TOP Data LABELING 
& GenAI tools
We label on our tool, yours or one of our partner’s tool.
TAILORED DATA LABELING WORKFLOWS
We ensure successful data labeling with tailored workflows.
AGILE PROJECT MANAGEMENT TEAM
We ensure efficiency with dedicated Data Experts.
SOLID HUMAN-IN-THE-LOOP
Working with a diverse, qualified and trained labelers.

INTEGRATED

API integration to your own systems.

PAY-AS-YOU-GO

Competitive market pricing solutions.

Customized

Tailored workforce from all over the world.

EthicAL

Social impact controlled and measured.
Talk to us

How We Can Enhance Your GenAI and LLM Projects

Discover our top-notch GenAI Labeling Solutions tailored for your LLM project.

DATA 
COLLECTION AND MODEL CREATION

  • Gather, create, or curate prompt-generation for your Generative AI model

  • Ask Data experts to enhance model accuracy

RLHF

  • Evaluate and rank prompts and results

  • Get human feedback to score and categorize responses

  • Conduct model evaluations to refine performance

CONTENT MODERATION

  • Identify and remove negative generated content

  • Review prompts and outputs for potential issues, with adversarial testing

REAL-TIME SUPPORT

  • Provide real-time support for Generative AI models in production

  • Conduct ongoing human verification and confirmation for classifier support

Why choosing isahit?
Leverage skilled on-demand workforce for ethical AI projects using top AI tools.

THE Only
ETHICAL
CHOICE

We place impact at the heart of our business model and measure it every year, making us the first B Corp certified AI company in Europe.

THE MOST DIVERSIFIED WORKFORCE

Our workforce is multicultural, coming from 44 different countries, speaking more than 16 languages, with different academic backgrounds and professional experiences.

A HIGHLY
TRAINED WORKFORCE

We assign our workforce to projects based on their skills and then provide them with a complete onboarding (more than 3 hours of training per project) & ongoing coaching.

THE MOST
AGILITY SOLUTIONS

We understand our customer's needs for flexibility and offer them appropriate solutions: scalable workforce, tools for every labelling needs, pay as you go system.

Our Customers
We helped them getting clean datasets

USE CASE : L'Oréal

Discover how L'Oréal uses our image annotation service to train their facial recognition algorithm and capitalise on the diversity of our workforce to avoid including biases in their models.
  • Use of a consensus process

  • Assigning images according to the skin type : (Indian, Asian, African, American, Caucasian)

  • Order of points

USE CASE : Airbus

Find out how Airbus uses our image annotation service to train its recognition algorithms on satellite imagery and capitalises on the flexibility of our service for mass annotations on an ad hoc basis.
  • Process of managing fluctuating image flows

  • Optimisation of the tool to handle several hundred annotations per image

  • Use of the directional bounding box with directional vector

USE CASE : Sodexo

Come and see how Sodexo uses our image annotation service to train their Food Recognition algorithm and capitalise on the diversity of our workforce to avoid bias in their models.
  • A tailor-made annotation pipeline

  • A tailor-made API

  • Specific interface for label management