How much do your AI data annotation services cost?
Our pricing is transparent, scalable, and directly tied to the complexity of the domain. Unlike platforms that obscure their costs, we provide real, highly competitive rates. For expert tasks, we charge exactly $18/hr for complex LLM Math and Coding evaluations, and $12/hr for STEM Generalist annotations. For computer vision, image editing is just $8/hr, dense captioning is $6/hr, and autonomous driving road lane annotation is a highly efficient $3/km. We also offer Abaka Forge credits at just $0.20 USD each, ensuring you can precisely budget your massive R&D operations with zero hidden surprises.
How fast can you scale up a data annotation team for our project?
We prioritize incredible velocity without compromising on expert precision. Our standard onboarding process takes just Day 0 to Day 3 for initial scoping, security setup, and custom guideline creation. Within Week 1 to 2, we execute a rigorous pilot to calibrate our 99% accuracy threshold. By Week 3, we elastically scale our workforce from our pool of 1M+ global annotators, quickly hitting massive throughputs of up to 500 files per day per annotator. This ensures your foundation models receive pristine data in mere weeks, not agonizing months.
What data modalities and output formats do you support?
Through the powerful Abaka Forge platform, we seamlessly support every major modality required for frontier AI development. We expert handle complex Text, LLM RLHF instruction tuning, dense Image captioning, dynamic Video spatial tracking, 3D/4D Point Clouds, advanced LiDAR + Camera fusion, and multi-speaker Audio. We deliver these meticulously labeled datasets directly to your secure cloud in highly standard, production-ready output formats including JSON, CSV, JSONL, Parquet, COCO, YOLO, PCD, and ROS Bags, seamlessly integrating with your existing machine learning pipelines.
How do you ensure high accuracy for complex AI data annotation services?
We absolutely guarantee a strict 99% accuracy rate by entirely avoiding unspecialized, generic crowdsourcing platforms. Instead, we heavily rely on our highly vetted, globally distributed scholar-network of true domain experts, including mathematicians, senior software engineers, and medical professionals. Furthermore, we continuously run rigorous, multi-layer quality assurance protocols within Abaka Forge. By combining large-model automated validation with secondary and tertiary human scholar-grade reviewer audits, we proactively catch and eliminate edge-case errors, ensuring completely pristine data for your models.
What security and compliance frameworks protect our proprietary data?
Your enterprise data sovereignty and security are our highest priorities. Abaka AI strictly operates under comprehensive SOC 2, ISO 27001, GDPR, and CCPA compliance frameworks. We implement mandatory, ironclad mutual NDAs across all our specialized annotation teams. Furthermore, your critical data is processed exclusively within highly secure, technologically segregated pipelines that prevent any unauthorized external access or accidental leakage. Because we are proudly self-funded and completely independent, your proprietary data is exclusively yours—it is never repurposed, resold, or shared with third parties.
Do you offer multilingual data annotation for global models?
Yes, we provide truly exceptional multilingual AI data annotation services leveraging our expansive operational presence in over 50 countries worldwide. We intentionally utilize native-speaking domain experts rather than flawed automated translations to perform highly culturally nuanced RLHF, intricate sentiment analysis, and complex instruction following tasks. This globally distributed, native-first approach actively guarantees that your foundational language models intrinsically understand localized dialects, regional colloquialisms, and vital cultural contexts. This drastically reduces inherent regional bias and allows you to confidently deploy highly competent, globally aware AI conversational agents to diverse international markets.
Why should we choose Abaka AI over traditional crowdsourcing platforms?
Traditional crowdsourcing platforms heavily rely on unvetted, transient, and generic gig workers, which inevitably leads to severe quality decay and model hallucinations when tackling complex frontier AI tasks. Abaka AI is fundamentally different. We strictly utilize a highly managed, fully vetted global scholar-network of verified domain experts capable of handling incredibly advanced tasks like Lean4 mathematics and defensive coding. Combined with our self-funded independence, strict 0% copyright risk guarantee, and powerful Abaka Forge platform automation, we are the only truly trustworthy data partner equipped to securely train state-of-the-art foundation models.
Can we update our annotation guidelines mid-project?
Absolutely. We deeply recognize that training frontier AI models requires continuous, highly agile iteration and experimentation. If your core engineering team discovers new edge cases or necessarily shifts model objectives during training, our dedicated project managers will immediately update the custom annotation guidelines. We then rapidly recalibrate our specialized scholar-network teams and actively perform rapid mini-pilots to ensure the newly introduced rules are flawlessly understood. This incredibly flexible, ongoing weekly feedback loop guarantees that our scalable AI data annotation services perfectly adapt to your dynamic, ever-changing machine learning research and development requirements.
Do you offer a pilot program before we commit to a massive dataset?
Yes, a rigorous pilot phase is a mandatory, deeply integrated foundational step in our comprehensive enterprise onboarding process. During the very first weeks of our engagement, we deliberately execute a highly controlled pilot run utilizing a carefully selected, highly representative sample of your most complex data points. Your internal AI research teams carefully review this initial dataset, allowing us to actively calibrate our precise 99% accuracy threshold, deeply refine intricate edge-case handling guidelines, and entirely prove our expert scholar-network capabilities before you ever commit to scaling massive, multi-million annotation volumes.
Who owns the labeled data once the project is completed?
You maintain 100% absolute, exclusive ownership of all raw and completely labeled data, entirely without exception. As a fiercely independent, profitable, and highly trustworthy data partner, Abaka AI fundamentally never builds foundation models that compete with our enterprise clients. Your proprietary training data is exclusively yours forever. It is explicitly never repurposed, quietly resold, or covertly shared across other client projects. We confidently guarantee full IP provenance and a strict 0% copyright risk, ensuring your immensely valuable datasets remain perfectly secure, fully regulatory compliant, and entirely under your strict organizational control at all times.
Do we need to provide our own annotation tools?
No, you absolutely do not need to provide, license, or manage any external software tooling. We execute our entire comprehensive suite of AI data annotation services seamlessly through our proprietary, all-in-one Abaka Forge platform. Forge is expertly engineered to natively handle everything from complex multi-sensor LiDAR fusion and highly detailed 3D Point Clouds to intricate, multi-turn LLM RLHF instruction tuning. Leveraging its embedded large-model automation heavily accelerates your complex data pipelines by up to 50x, entirely eliminating the incredibly expensive need for your engineering team to build, license, or manually maintain fragmented third-party annotation software.
Is there a minimum project size required to use your services?
While our massive network of over 1M global annotators is strategically designed to instantly scale and crush massive volume walls for tier-1 frontier models, we absolutely recognize that precision AI development starts with highly targeted, iterative testing. Therefore, we happily support smaller, highly specialized pilot runs and iterative dataset expansions. Whether you desperately need a few thousand highly complex Lean4 mathematics evaluations to fine-tune a specialized model, or tens of millions of dense image captions for an initial foundational pre-training run, we dynamically adapt our expert operations to perfectly match your specific scale.
