Scale Your LLMs with an AI Chatbot Training Virtual Assistant
Stop wasting engineering time on data labeling and conversation mapping. Hire a managed, pre-vetted VA to handle RLHF, intent tagging, and bot persona testing.
Trusted by AI Product Teams
"Our VA from SageDoer tagged over 5,000 utterances for our customer support bot in the first month. The accuracy of our NLP model jumped by 15%."
"Having a dedicated project manager is huge. We just hand over the Voiceflow wireframes, and the PM ensures the VA builds the conversational logic perfectly."
"They structure all our RAG (Retrieval-Augmented Generation) documents. We feed them messy PDFs, and the VA turns it into clean JSON for our LLM."
"We needed human-in-the-loop testing to ensure our bot's persona didn't hallucinate. The QA provided by our VA was rigorous and well-documented."
"No platform fees and no hidden costs. We scaled our data labeling team from 1 to 3 VAs seamlessly through our SageDoer manager."
"They handle the daily review of unresolved user prompts, categorizing fallback errors so our developers know exactly what intents to train next."
"Our VA from SageDoer tagged over 5,000 utterances for our customer support bot in the first month. The accuracy of our NLP model jumped by 15%."
"Having a dedicated project manager is huge. We just hand over the Voiceflow wireframes, and the PM ensures the VA builds the conversational logic perfectly."
"They structure all our RAG (Retrieval-Augmented Generation) documents. We feed them messy PDFs, and the VA turns it into clean JSON for our LLM."
"We needed human-in-the-loop testing to ensure our bot's persona didn't hallucinate. The QA provided by our VA was rigorous and well-documented."
"No platform fees and no hidden costs. We scaled our data labeling team from 1 to 3 VAs seamlessly through our SageDoer manager."
"They handle the daily review of unresolved user prompts, categorizing fallback errors so our developers know exactly what intents to train next."
Comprehensive AI Training Support
Our VAs act as the "Human-in-the-Loop", providing the essential data structuring, labeling, and QA required to make your LLMs and chatbots enterprise-ready.
Intent Tagging & Mapping
Reviewing thousands of user chat logs to manually classify intents, extract entities, and build robust training datasets for NLU models.
RLHF Data Generation
Providing Reinforcement Learning from Human Feedback. VAs rank AI outputs, rewrite poor responses, and flag hallucinations to refine model behavior.
Conversation Design
Building visual flowcharts in tools like Voiceflow or Botpress. Scripting natural-sounding dialogue paths for complex customer journeys.
RAG Knowledge Structuring
Cleaning and formatting messy company wikis, FAQs, and PDFs into structured text or JSON formats to optimize Retrieval-Augmented Generation.
Persona & Edge-Case QA
Stress-testing chatbots with edge-case prompts ("red-teaming") to ensure the bot maintains its designed persona and doesn't break policy.
Utterance Generation
Writing diverse variations of user prompts (e.g., 50 ways to say "I want a refund") to increase the model's understanding of natural human phrasing.
Fallback Log Review
Daily analysis of "Default Fallback" triggers where the bot failed. VAs identify missing intents and flag them for the engineering team.
Prompt Engineering Support
Testing and iterating system prompts in playgrounds (like OpenAI platform) to find the most efficient instructions for specific AI tasks.
Analytics & KPI Tracking
Monitoring containment rates, CSAT scores, and conversation drop-off points, compiling actionable weekly reports for product managers.
Fluent in the Modern AI Stack
Deployment Protocol
A seamless managed workflow designed to integrate trained data specialists directly into your engineering sprints.
Submit Needs
Share your platform stack, data volume, and QA parameters via email or form.
Strategy Sync
Your dedicated PM designs a training pipeline and finalises SOPs to ensure data quality.
Data Execution
The VA begins tagging, formatting, or designing flows, strictly overseen by the PM.
Pay For Output
We bill exclusively for tracked hours of pure data work. Management is free.
Why SageDoer Outperforms Freelance Platforms
AI data security and consistency are critical. Here is how our managed model protects your IP and budget.
Standard Freelancers
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Platform MarkupsUp to 40% lost to bidding fees and subscriptions.
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Data Privacy RisksUnvetted contractors handling sensitive training data.
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Management OverheadYou waste hours answering basic questions and QA-ing data.
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High TurnoverFreelancers vanish, forcing you to retrain from scratch.
The SageDoer Advantage
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0% Hidden FeesPay strictly for hours worked. Simple, predictable billing.
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Secure & VettedStrict NDAs and secure environments protect your proprietary models.
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Dedicated Project ManagerA single point of contact handles QA and daily oversight for free.
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Seamless ContinuityIf a VA takes leave, your PM swaps in a trained replacement instantly.
Transparent USD Pricing
Zero Wasted Time. Up to 70% Savings. Pay only for pure data output.
Part-Time
20 Hours Per Week
Est. $560 USD / Month (4 Weeks)
- Pay only for hours of pure work
- Dedicated Project Manager included
- Free management supervision
- Zero setup or onboarding fees
- No monthly membership charges
Full-Time
40 Hours Per Week
Est. $960 USD / Month (4 Weeks)
- Pay only for hours of pure work
- Dedicated Project Manager included
- Free management supervision
- Zero setup or onboarding fees
- No monthly membership charges
Frequently Asked Questions
Will the VA write Python code or build ML models?
No. Our VAs specialize in the critical administrative layer of AI: data labeling, testing, and conversation design using no-code/low-code tools (Voiceflow, Dialogflow) or platform backends. They prep the data so your engineers can build the models.
How do you handle proprietary/sensitive training data?
Security is paramount. VAs sign strict NDAs and operate within your designated secure cloud environments. They only access the platforms and datasets you provision, ensuring IP remains entirely under your control.
Can they use our custom LLM platform?
Yes. During Phase 1, simply provide the SOPs or documentation for your custom internal tool. Your dedicated Project Manager will ensure the VA is trained precisely on your specific UI and tagging parameters.
Do you provide multilingual training data?
Depending on availability, we can source VAs proficient in specific languages for localized intent tagging and utterance generation. Let us know your language requirements during the discovery phase.
What is RLHF and why do I need a VA for it?
Reinforcement Learning from Human Feedback (RLHF) involves a human ranking AI responses to teach the model nuance. VAs perform this repetitive but essential task, identifying hallucinations and bias to make your bot safer and smarter.
How is "Actual Working Time" tracked?
We use centralized time-tracking software. If a VA spends exactly 4 hours classifying intents and 2 hours QA-ing dialogues, you are billed strictly for those 6 hours. No padding, no idle time charges.
Deploy Your AI Training Team
Scale your data operations without the overhead. Reach out today to get matched with an AI data specialist.
Request a Tailored Strategy
Tell us about your AI project requirements. Your dedicated project manager will contact you promptly.