Post-training
A preference-data squad
A lab needs judgments in a specific domain. We match reviewers, write the rubric, and run a second pass before the signal reaches the model.
AI / ML model training consultancy
Specialists who teach models what good looks like.
RainbowBridge fields professional AI and machine-learning training experts for labs and companies that need rigorous human judgment — evaluation, fine-tuning signal, and domain work a model cannot invent on its own.
- Bench
- 6 training specialists
- Presence
- India, Mexico, Singapore
- Focus
- Human signal for frontier models
01 — Practice
Training work that holds up under review.
We staff and direct experts who produce the tasks, rankings, rationales, and curricula research teams use to shape model behavior.
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Expert model training
Specialists who write the demonstrations, preference judgments, and corrections frontier models learn from.
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Evaluation and alignment
Rubrics, red-team review, and human feedback programs — including supervised fine-tuning and RLHF — tied to the behavior you want the model to keep.
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Multimodal data craft
Text, image, audio, and video annotation and review, held to a quality bar a research lead can defend.
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Domain task design
Role-faithful assignments with reference material and a gold deliverable — the work a specialist would actually ship.
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Instruction for teams
Workshops in machine learning, generative AI, and analytics that land inside the tools a company already uses.
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Platform-ready contributors
Consultants who already partner with the model-training companies labs rely on, and who know how those programs are run.
Engagements
Three ways teams bring us in.
Agents
Tasks that mirror a job
Experts design multi-step assignments, the files a professional would consult, and the finished deliverable the model is scored against.
Enterprise
Training that changes the work
Instructors design generative-AI and analytics programs around a team’s real tools, then stay available while the practice takes hold.
02 — Method
A short path from brief to usable signal.
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01
Brief
We learn the capability, the failure you care about, and the rubric that defines a good answer.
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02
Match
We assign specialists by domain, language, and training method — evaluation, fine-tuning, or task design.
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03
Signal
Experts produce tasks, labels, rankings, and written rationales a trainer can inspect.
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04
Review
A second reader checks consistency, instruction-following, and rubric fit before delivery.
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05
Iterate
As model behavior shifts, we tighten the tasks and the grading notes with you.
03 — Network
Consultants who already work inside the training ecosystem.
RainbowBridge experts partner with the companies that recruit, evaluate, and supply human signal for modern AI and ML models.
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Credentialed domain experts for training and evaluation.
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Expert-demonstrated data, evaluations, and task environments.
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Human training data for language, code, and multimodal models.
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Expert reasoning traces, rubrics, and fine-tuning data.
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Students, professionals, and domain experts training models.
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Data-centric AI, specialized datasets, and evaluation programs.
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Labelbox expert network for domain training tasks.
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Human feedback that trains frontier language models.
Names identify ecosystems where our consultants contribute. RainbowBridge is an independent consultancy.
04 — Experts
The bench.
Practitioners across India, Mexico, and Singapore. Each profile links to the public record they publish themselves.
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Mumbai, India
Hiren Bhatt
AI trainer
Eight years training models on text, image, audio, and video. Focused on LLM evaluation, RLHF, prompt design, and multimodal annotation for language and computer-vision tasks.
LinkedIn -
Gurugram, India
Sidharth Panda
AI specialist
Hands-on work in supervised fine-tuning, RLHF, retrieval-augmented generation, and prompt engineering. Builds multimodal training workflows with PyTorch, TensorFlow, and cloud ML platforms. Computer science background, with generative-AI study through IIT Madras.
LinkedIn -
Mexico
Miguel Torres
Generative AI and analytics consultant
Helps companies move from AI experiments to tools that change daily work. Course director for data and AI at Platzi, and a trainer with Google Developer Groups on Gemini and Google AI Studio.
LinkedIn -
Singapore
Dr. Alvin Ang
Data science and AI trainer
Ph.D. in operations research from Nanyang Technological University. Trains practitioners in machine learning, deep learning, statistics, and analytics at Tertiary Infotech, and founded the DataFrens.sg community.
LinkedIn -
Singapore
Philips Kokoh Prasetyo
Machine learning instructor
Senior technical instructor at Amazon Web Services, teaching machine learning and generative AI. Researcher and developer in natural language processing, information retrieval, text mining, and intelligent systems.
LinkedIn -
Culiacán, Mexico
Jose Velazquez
AI trainer
Designs expert tasks that teach models how specialists work — scoping complex assignments, assembling reference material, and producing the finished deliverable. Contributes industrial and operations training through Micro1.
LinkedIn
05 — Brief
Tell us what the model still gets wrong.
Share the domain, the training method, and the kind of expert you need. We reply with a proposed bench and a way to start.
- India
- Mexico
- Singapore
Your brief is ready to send.
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