How much do your human data services for LLMs cost?
Our human data services for LLMs offer highly competitive, transparent pricing based on domain complexity. For standard evaluations, STEM Generalist tasks are priced at $12/hr. For highly complex reasoning, LLM Math and Coding experts are available at $18/hr. Safety and adversarial testing, such as Red Teaming, costs just $8 per evaluation, while specialized Defensive Coding reviews are $15 per evaluation. This clear, usage-based model ensures you only pay for the exact scholar-grade human intelligence required to elevate your frontier models.
What is the typical timeline for delivering LLM training data?
We optimize our human data services for LLMs to deliver massive throughput without sacrificing quality. Following a 3-day expert curation phase and a 1-2 week pilot calibration, we rapidly scale production. Our annotators process up to 500 files per day individually. Coupled with Abaka Forge's large-model automation, which drives a 70% reduction in preprocessing time, we typically deliver fully QA'd, production-ready datasets on a consistent, weekly cadence tailored to your specific fine-tuning schedule.
What modalities and output formats do you support for LLM data?
While our core human data services for LLMs excel in text-based RLHF and instruction tuning, we provide comprehensive multimodal coverage. We annotate text, interleaved images, video spatial reasoning, and audio. Deliverables are highly structured and customized to your pipeline, typically exported as JSON, JSONL, CSV, or Parquet files. Leveraging the Abaka Forge platform, we ensure that every dataset—whether a chain-of-thought logic puzzle or an image captioning pair—is cleanly formatted and instantly ready for model ingestion.
How do you ensure the accuracy of your human data services for LLMs?
Accuracy is non-negotiable for frontier AI. We guarantee 99% accuracy across our human data services for LLMs by bypassing generic crowd-workers entirely. Instead, we match complex tasks to specialized domain experts—such as mathematicians for Lean4 proofs and competitive programmers for code evaluations. We also implement rigorous multi-layer QAs, utilizing model-as-judge frameworks alongside senior human reviewer consensus, ensuring that every piece of alignment data is logically sound, factually correct, and perfectly aligned with your guidelines.
How do you protect sensitive or proprietary LLM training data?
Security is paramount in our human data services for LLMs. Abaka AI maintains strict compliance with SOC 2, ISO 27001, GDPR, and CCPA standards. We process all tasks within highly segregated, secure pipelines. Our vetting process includes strict NDAs for all annotators and domain scholars. Because we provide full IP provenance and 0% copyright risk on collected data, you can confidently scale your proprietary datasets knowing your intellectual property remains entirely confidential and protected from leakage.
Can you provide multilingual human data services for LLMs?
Yes, Abaka AI's scholar-network operates across more than 50 countries, providing extensive multilingual capabilities. Our human data services for LLMs leverage native speakers to capture localized nuances, cultural context, and highly accurate translations that synthetic data cannot replicate. Whether you need cross-lingual RLHF, global sentiment analysis, or localized safety red-teaming, we ensure your foundation models interact fluidly and correctly with diverse, international audiences, maintaining high-fidelity alignment across all supported languages.
Why choose Abaka AI over traditional data labeling platforms?
Unlike traditional platforms that rely on low-tier crowd-workers, Abaka AI is the trustworthy data partner for frontier AI. Our human data services for LLMs are powered by a highly specialized network of 1M+ vetted scholars capable of handling extreme reasoning complexities. Furthermore, we are completely self-funded and profitable, meaning we face no VC pressure to build competing models. We offer uncompromised security, 0% copyright risk, and guaranteed 99% accuracy, ensuring true scholar-grade intelligence for your pipelines.
How do you handle changes to LLM annotation guidelines mid-project?
Flexibility is built into our human data services for LLMs. We understand that alignment criteria often evolve rapidly during the model training lifecycle. We maintain a continuous feedback loop and weekly check-ins with your team. If your annotation guidelines change, we rapidly update our protocols within the Abaka Forge platform and retrain our dedicated expert pods. This agile approach ensures your data remains perfectly synchronized with your shifting research priorities and fine-tuning requirements.
Do you offer a pilot phase before full-scale data generation?
Absolutely. A rigorous pilot phase is a mandatory component of our human data services for LLMs. During Weeks 1 and 2, our curated team processes an initial batch of your specific tasks. This allows us to strictly calibrate the annotation guidelines, test edge cases, and align our multi-layer QA processes with your scientific standards. Full-scale production only begins once your engineering team is completely satisfied with the 99% accuracy and quality of the pilot deliverables.
Who owns the data generated by your human data services for LLMs?
You maintain absolute, 100% ownership of all data. As your trustworthy data partner, Abaka AI strictly guarantees that your proprietary data is exclusively yours. It is never repurposed, resold, or shared to train other models. Our human data services for LLMs provide complete IP provenance, ensuring 0% copyright risk. This unwavering commitment to data ownership gives frontier AI labs the confidence to build highly valuable, proprietary foundation models without fear of intellectual property compromise.
What annotation tooling is used for your human data services for LLMs?
We utilize our proprietary, all-in-one Abaka Forge platform to power our human data services for LLMs. Abaka Forge comprehensively manages data collection, cleaning, annotation, and production pipelines. By incorporating large-model automation, it accelerates human annotation by up to 50x. The platform natively supports everything from complex CoT text reasoning to interleaved multimodality and 3D point clouds. Platform credits are highly affordable at just $0.20 USD each, enabling seamless and cost-effective scaling for massive model evaluations.
Is there a minimum project size for your human data services for LLMs?
We offer elastic scalability designed to support frontier AI labs of all sizes. While our human data services for LLMs easily handle massive, ongoing pipelines of 100,000+ interactions for major tech enterprises, we also support smaller, highly specialized batches. Whether you require a short burst of Lean4 mathematical proofs or comprehensive red-teaming evaluations before a major release, our project-based and long-term engagement models flexibly adapt to your specific volume constraints and research deadlines.
