Trusted by leading AI and tech companies across industries
We deploy AI trainers, AI engineers, and human expert data with domain and language expertise to train and fine-tune models
Every project includes multi-level reviews, feedback loops and accuracy tracking to ensure consistent, high-quality results.
Experienced trainers provide model evaluation, feedback generation, and reinforcement optimization.
Easily scale your AI training teams up or down based on model complexity and project timelines.
Our experts support code based LLMs to enhance performance across NLP, conversational AI and multimodal systems.
They focus on training chatbots, voice-agents, and conversational AIs refining how the system understands input, how it responds, shaping dialogues.
They take a pre-trained model (e.g., LLM) and adapt it to a specific domain (finance, healthcare, legal, recruitment), fine-tune, test, refine.
They monitor AI outputs, test edge cases, identify biases, inaccuracies, bad behavior, feed that back into training cycle.
They train models on non-textual modalities—image recognition, audio/speech, video/gesture, etc. They may annotate visual/audio content and train models accordingly.
They bring expertise in a specific industry (healthcare, legal, finance, recruitment) and help train the AI with domain-specific data, terminology, context, and rules.
They provide direct human feedback to the model: correct outputs, supervise model decisions, manage a loop where humans review and refine model behaviour.
AI + Human Expertise: Blending automation with human reasoning for smarter model outputs.
Pre-Vetted Global Talent: Hire AI training developers, AI engineers, and RLHF specialists ready in 24 hours.
Scalable Workforce: Expand or contract your AI training teams as your data demands evolve.
Domain Intelligence: Trainers with backgrounds in technical, linguistic, and cognitive sciences.
Cost-Effective AI Support: Reduce operational cost by up to 60% vs. in-house teams.
Better model accuracy and reasoning depth
Ethical, unbiased decision-making
Faster deployment and retraining cycles
Continuous human-in-the-loop optimization
Share your model type, domain, and training objectives.
We match you with the right mix of AI trainers, engineers, and human data specialists.
Teams run structured training loops with continuous quality checks.
We evaluate model performance and refine based on human feedback.
You receive improved, human-aligned models ready for production at scale.
Sai Kumar
Designs and deploys scalable, optimized AI architectures ensuring reliable, high-performance machine learning systems.
Jayant Mahara
Builds strong predictive models through expert preprocessing, feature engineering, MLOps, and performance tuning.
Gowtham Swaminathan
Innovates advanced NLP, reinforcement learning, and generative AI solutions through deep research expertise.
Seema Nayar
Aligns AI solutions with business goals using strategic planning, evaluation, and cross-functional leadership.
Rishabh C
Enhances model accuracy through effective data handling, training workflows, and Python-based development.
Abhishek Sisodia
Improves AI responsiveness via data labeling, fine-tuning, prompt engineering, and human-in-loop systems.
Ready to accelerate your AI project with high-quality human data?
Have more questions? Contact our support team to get what you need. connect@sourcebae.com
Human data experts are trained professionals who help AI models learn and improve. They include AI trainers, data evaluators, domain specialists, and AI engineers who guide models with human feedback, corrections, and real-world context.