Train Better AI Models.
Delegate the Data Grind.
Offload high-volume data annotation, Named Entity Recognition (NER), RLHF text generation, and data cleaning. Sagedoer provides highly-trained NLP Virtual Assistants, strictly managed by a dedicated QA Project Manager at zero platform fees.
99%
Annotation Accuracy
0
MTurk Quality Issues
70%
Cost Reduction
In 2023, ORG: OpenAI announced the release of GPT-4 in LOC: San Francisco. The new model generated over MONEY: $1 Billion in revenue for CEO PER: Sam Altman.
Entities Tagged
1,240
Inter-Annotator Agreement
98.5%
Quality Assurance
Guidelines enforced by PM
Precision Human-in-the-Loop Data Tasks
Stop wasting highly-paid engineering hours on data cleaning and labeling. Let our managed VAs handle the grind so your data scientists can build.
Named Entity Recognition (NER)
Accurately highlighting and classifying entities (People, Organizations, Locations, Medical Terms) in large unstructured text corpora using your specific taxonomy.
Sentiment & Text Classification
Categorizing reviews, social media posts, or support tickets by intent, emotion, or topic to create high-quality training datasets for classification models.
RLHF & Conversational Data
Generating human-written prompt-response pairs, ranking LLM outputs, and providing Reinforcement Learning from Human Feedback (RLHF) to fine-tune chatbots.
Data Cleaning & Pre-processing
Removing duplicates, formatting raw text, fixing character encoding issues, and structuring data accurately into CSV, JSON, or JSONL formats.
OCR Correction & Transcription
Reviewing and correcting errors produced by Optical Character Recognition (OCR) systems on scanned documents, invoices, or historical archives.
Uncompromising Data Quality
Every annotation batch is reviewed against your guidelines by your dedicated Project Manager. Zero management overhead for you.
Discuss Your Data PipelineThe Annotation Ecosystem
Proficient in Top AI Platforms
Our VAs hit the ground running with the annotation tools and data structures you already use.
The Smart Choice for Data Ops
Why AI teams choose the Sagedoer managed model over crowdsourcing or massive platform markups.
Crowdsourcing (e.g. MTurk)
Data Quality & Consistency
High variance. Annotators rush tasks, leading to poor inter-annotator agreement.
Management Burden
You must constantly write complex guidelines, audit work, and reject bad batches.
Context Retention
Zero continuity. You get random workers who never truly learn your specific domain.
Platform Markups
Enterprise annotation platforms charge massive monthly software and service markups.
Managed Dedicated VAs
Data Quality & Consistency
Dedicated team means they learn your domain deeply. High inter-annotator agreement.
Management Burden
Your Project Manager trains the VAs, audits batches, and enforces guidelines. Free of charge.
Context Retention
Same VAs work on your project daily, increasing speed and accuracy over time.
Platform Markups
0% Hidden Fees. Pay strictly for pure working hours at simple hourly rates.
Seamless Pipeline Integration
Start scaling your data annotation capacity in days, not weeks.
Submit Guidelines
Share your annotation rulebook, platform access (e.g., Labelbox), and data volume requirements.
Calibration Batch
Our PM trains the VA and executes a small sample batch to ensure perfect alignment with your standard.
Scaled Execution
Your PM takes full charge, ensuring the VA accurately processes high volumes of text daily.
Pay Only for Output
We log and charge exclusively for the VA's actual working time. The PM's QA is completely free.
Transparent, High-ROI Pricing
Scale your data labeling team without expensive platform contracts or management bloat.
Part-Time
20 Hours Per Week
Est. $560 USD / Month (4 Weeks)
- Pay only for hours of pure work
- Dedicated QA Project Manager included
- Free annotation auditing
- Zero setup or onboarding fees
- No monthly platform markups
Full-Time
40 Hours Per Week
Est. $960 USD / Month (4 Weeks)
- Pay only for hours of pure work
- Dedicated QA Project Manager included
- Free annotation auditing
- Zero setup or onboarding fees
- No monthly platform markups
Frequently Asked Questions
Your PM is your Quality Assurance lead. Instead of managing the VAs directly, you provide the annotation guidelines to the PM. The PM trains the VA, enforces inter-annotator agreement standards, audits sample batches, and ensures the output perfectly matches your schema. This PM layer is provided at zero extra cost.
No, Sagedoer provides the *managed talent*. Clients typically grant our VAs secure access to their existing annotation platforms (like Labelbox, Prodigy, or custom internal tools). This ensures your data never leaves your secure ecosystem and remains fully under your control.
Yes. Our VAs possess excellent written and reading comprehension skills in English, essential for nuanced tasks like sentiment analysis, RLHF prompt creation, and complex Named Entity Recognition. We execute calibration batches prior to full deployment to verify they grasp your specific linguistic or domain constraints.
We take data security very seriously. All Sagedoer personnel sign strict NDAs. Furthermore, because VAs work directly within your cloud environments or annotation tools via designated permissions, they do not download raw datasets to local machines, maintaining your data's integrity and confidentiality.
Scale your data ops today.
Contact us to discuss your pipeline bottlenecks. We can integrate a highly-trained annotation team into your workflow rapidly.
Request an Operations Audit
Fill out the form below and a PM will reach out shortly.