Why human skills are the secret ingredient in generative AI

Graphic depicts a cozy creative workspace with a coffee cup, potted plant, and an open notebook filled with colorful diagrams to illustrate human-centered generative AI training

Rethinking AI development — from code to human intelligence When most people think of artificial intelligence, they imagine complex algorithms and machine logic. But Sigma is proving that the most powerful AI systems begin with people. The company specializes in training individuals to perform generative AI data annotation — the behind-the-scenes work that fuels model […]

How red teaming AI reveals gaps in global model safety

Graphic depicts a focused engineer delicately repairing clockwork mechanisms at a workbench to illustrate multilingual red teaming AI.

Red teaming goes global Red teaming — intentionally probing AI models for weaknesses — has long been a key practice in AI safety. But most efforts focus on English, text-based interactions. Sigma AI decided to take things further. In our latest study, they pushed top models to their limits, examining how they behave in different […]

Precision in data annotation: What’s needed for gen AI models

Graphic depicts a golden compass on an open book to illustrate precision in data annotation for building reliable generative AI models

Precision in gen AI data annotation Gen AI models learn to create novel content. However, for these models to be reliable and useful, their content should be grounded in accurate information and logical structures.  In gen AI data annotation, precision extends beyond accurate facts; it also encompasses creativity and nuance. Precise outputs should be factually […]

Human touch in gen AI: Training models to capture nuance 

Graphic depicts a woman annotator using headphones and a computer to illustrate the human touch in generative AI training

Humanity in gen AI data annotation Data annotation is not just about accuracy and precision. It requires human expertise and careful oversight to ensure AI models interact with the world in a meaningful, relevant, and responsible way.   Drawing from our most recent whitepaper, “Beyond accuracy: The new standards for quality in human data annotation for […]

Accelerating the new AI: Key insights from our latest whitepaper

A racecar on a blurred track represents the speed of change in generative AI, and how Sigma is accelerating this new AI through human data annotation

The key to gen AI success? High-quality data powered by human expertise  Building accurate and reliable generative AI models demands vast amounts of high-quality training data. Achieving this is easier said than done: it requires the right blend of efficient workflows, deep-domain knowledge, and human oversight.   With over 30 years at the forefront of AI […]

Inside Sigma’s 2025 CSR report: Driving positive impact 

Graphic depicts a vibrant tree with colorful leaves and deep, glowing roots to illustrate Sigma’s 2025 CSR report and its commitment to ethical growth and sustainable foundations.

Making a difference: How Sigma is driving positive change Guided by Sigma’s core values, our Environmental, Social, and Governance (ESG) program shows how we create a positive impact for our employees, communities, and the planet.    Here are a few key insights from our CSR report:  Environmental responsibility We are taking steps to reduce our carbon […]

Behind the scenes of creating the book ‘Nature’s Palette’ with AI

The book 'Nature's Palette' demonstrates the power of human and AI collaboration to create art, and the value of Sigma AI’s role in human data annotation.

The concept: Blending art, science, and AI We began by brainstorming coffee table book ideas that would appeal to a broad, international adult audience. AI generated a host of possible topics and then provided additional data on the popularity of certain topics and categories.  Humans narrowed these options down to the most appealing. A book […]

3 training data challenges hurting AI

An illustration of a circus performer training a bear, to illustrate the concept of training data using human data annotation.

The AI-driven world we’ve been promised for years has arrived. Data-driven businesses are all turning to Artificial Intelligence to improve output. In fact, 45% of them say they’ve already integrated AI as part of their operations. Humans are ready for AI. But is AI ready for us? One of the biggest data training challenges that AI faces […]

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