Human intelligence
for AI training and evaluation.
Build stronger models with expert-led evaluation, benchmarks, post-training datasets, and human feedback workflows. Hirebolt helps AI teams access the specialist talent and operational capacity needed to improve model performance at scale.
SFT, RLHF & RL environmentsDomain-expert contributors40+ languages supportedRigorous technical evaluationSFT, RLHF & RL environmentsDomain-expert contributors40+ languages supportedRigorous technical evaluationDeployment speed
From brief to deployed team in ~7 days, drawing from a pool of 2.5M+ pre-vetted contributors.
Domain depth
7,000+ verified AI, STEM, and domain specialists skilled in SFT, RLHF, RAG, and agent workflows.
Match precision
97% first-match success rate with contributors experienced across 20+ AI training domains.
Train frontier models
We build the datasets, evals, and environments AI labs need to advance model performance.
Build coding datasets, benchmarks, and evaluation workflows designed to improve reasoning, code quality, and agent performance across real-world software engineering tasks.
Structured reinforcement learning environments with prompts, verifiers, and test scenarios that support training, evaluation, and controlled experimentation.
Human-authored datasets and benchmarks designed to evaluate and improve scientific reasoning, symbolic accuracy, and domain expertise in advanced models.
Structured reinforcement learning environments with prompts, verifiers, and test scenarios that support training, evaluation, and controlled experimentation.
Curated multimodal datasets and evaluations that help models understand, reason across, and generate outputs from multiple data types.
Structured datasets for embodied reasoning, simulation, and agent interaction across virtual and real-world environments.
Design, execution, and management of benchmarks that help measure model capabilities, identify weaknesses, and track improvements across training cycles.
Structured reinforcement learning environments with prompts, verifiers, and test scenarios that support training, evaluation, and controlled experimentation.
From task to
trained system
A simple process designed to get the right specialists working on your AI training tasks fast.
Scope your task
Share your goals, domains, quality requirements, and expected scale. We help scope the right contributors, evaluation approach, and delivery model.
Deploy specialists
Access vetted contributors, evaluators, and domain experts matched to your needs, ready to work in your existing tools and workflows.
Scale as your model evolves
Expand capacity as needs grow. Add specialists, increase throughput, and maintain quality through ongoing management, QA, and operational support.
Scope your task
Share your goals, domains, quality requirements, and expected scale. We help scope the right contributors, evaluation approach, and delivery model.
Deploy specialists
Access vetted contributors, evaluators, and domain experts matched to your needs, ready to work in your existing tools and workflows.
Scale as your model evolves
Expand capacity as needs grow. Add specialists, increase throughput, and maintain quality through ongoing management, QA, and operational support.
Specialists for high-stakes
AI training and evaluation
Access a global network of engineers, researchers, and domain experts who help build, test, and improve AI systems across coding, STEM, language, and multimodal tasks.
Build training pipelines, optimize models, and support end-to-end model development and experimentation.
Sofia K.
Senior ML Engineer
MSc Artificial Intelligence,University of Belgrade
Built scalable training pipelines for multimodal vision models and optimized distributed GPU workloads.
Diego R.
Machine Learning Engineer
BSc Computer Engineering,Universidad de los Andes
Developed production ML systems for fraud detection and recommendation engines.
Katarzyna W.
Applied ML Engineer
MSc Data Science,Warsaw University of Technology
Deployed large-scale forecasting models and automated model retraining pipelines for accuracy.
Talent across 60+ countries supporting 40+ languages for multilingual evaluationGrads and researchers from MIT, Stanford, Oxford, and leading institutions100% identity-verified, live-proctored, and technical credential-checkedTalent across 60+ countries supporting 40+ languages for multilingual evaluationGrads and researchers from MIT, Stanford, Oxford, and leading institutions100% identity-verified, live-proctored, and technical credential-checkedWhy teams
choose Hirebolt
Access infrastructure designed for large-scale AI data training, expert evaluation, and multilingual operations, managed from sourcing to quality assurance.
Top 1% specialists, rigorously vetted
Our LLM engineers and evaluators have shipped production AI systems using GPT-4, Claude, Llama 2/3, Mistral, and custom transformer models. They understand prompt engineering, RAG, fine-tuning, and model evaluation.
Full-stack AI capabilities
Build complete LLM-powered applications from concept to deployment. Teams handle model selection, fine-tuning, vector database integration, prompt optimization, API development, guardrails, and production monitoring — delivering end-to-end solutions.
Technical depth at the core
Our network was originally built around verified software engineering talent, making us particularly strong for coding, Python, Docker, Linux, cloud infrastructure, STEM, multilingual review, and expert evaluation tasks where generalist annotator pools often struggle.
Workflow at scale
We have a pool of more than 2M specialists for repeatable AI evaluation, training, and human-feedback workflows. We combine a large recruiting organization, established sourcing processes, referral networks, and global talent communities to rapidly identify and qualify contributors.
40+ languages supported
Our UK base gives us strong reach across Europe and beyond. We source domain specialists across more than 40 languages, supporting multilingual annotation, review, and evaluation work. Contributors include talent from Oxford, Stanford, MIT, and Aston University.
Quality across the full workflow
We don't hand off and disappear. We maintain QA, throughput management, replacement capacity, and signal quality across ongoing, long-running AI training workflows so your pipeline stays reliable.
AI training data is sensitive. We treat it with enterprise-grade security and full compliance.
Independently audited controls for enterprise security.
Data handling aligned with European privacy regulations.
Support for healthcare-grade workflows and sensitive data environments.
Region-controlled processing with no cross-border transfer unless explicitly required.
Compliance
Independently audited controls for enterprise security.
Data handling aligned with European privacy regulations.
Support for healthcare-grade workflows and sensitive data environments.
Region-controlled processing with no cross-border transfer unless explicitly required.
Security practices
All specialists are contractually bound before any project begins.
Contributors only access the data and tasks they are assigned to.
All actions in evaluation and annotation workflows are fully traceable.
Compatible with restricted, enterprise, and air-gapped setups where required.
Work we've done
See how AI labs use Hirebolt for technical evaluation, multilingual review, and scalable training.
Train models, run evaluations, and build datasets.
Hirebolt works with frontier labs and enterprises to turn research progress into practical intelligence, through training data, evals, and vetted talent.