AI-matched talent sourcing
Post a role, receive a curated shortlist of pre-vetted domain experts, and hire directly from the matches instead of reviewing open applications.
OpenTrain AI
Freemium
OpenTrain AI est une marketplace et un service géré pour recruter des formateurs IA, annotateurs de données et experts métier présélectionnés pour le RLHF, l’évaluation, le red teaming, l’annotation et les workflows d’agents.
Qu'est-ce que OpenTrain AI ?
OpenTrain AI is a marketplace and managed-service platform for hiring AI trainers, data labelers, and domain experts. The site positions it as a way to source pre-vetted talent for RLHF, LLM evaluation, red teaming, annotation, and related AI training work.
Teams can post a job, review a curated shortlist, and bring selected experts into the tools they already use. OpenTrain also offers a managed service for teams that want the company to handle recruiting, onboarding, training, daily management, quality assurance, and payments inside the customer’s own environment.
Que peut faire OpenTrain AI ?
Broad AI training coverage
Source talent for RLHF, red teaming, LLM evaluation, code review, reasoning verification, multimodal annotation, and related AI training work.
Works in your existing tools
Bring hires into Label Studio, CVAT, Encord, Argilla, Snorkel AI, AWS SageMaker, or custom tools without migrating platforms.
Built-in workflow management
Use the built-in workspace for messaging, instructions, training modules, project tracking, and milestone payments.
Self-service and managed delivery
Choose self-service hiring or a managed program where OpenTrain handles recruiting, vetting, onboarding, training, daily management, and QA.
Global payments and fee handling
Pay talent through OpenTrain with transparent fees and global payouts across 190+ countries.
Cas d'utilisation
“LLM training and alignment”
Post RLHF, evaluation, or red-teaming roles, then hire domain experts to rank outputs, verify answers, and produce preference data for model training.
“Data annotation in existing tools”
Run image, text, audio, video, or 3D labeling projects inside a preferred platform such as Label Studio, CVAT, Encord, or Argilla.
“Fully managed project operations”
Use managed service when you want OpenTrain to recruit, vet, onboard, train, and manage a team with ongoing QA and reporting.
“Evaluation and benchmarking”
Hire experts for model audits, benchmark creation, preference testing, and ongoing quality checks across outputs and datasets.
“Agent and workflow testing”
Bring specialists into internal or custom systems for code review, function calling, computer-use tasks, and other agent-training workflows.
Questions fréquentes
How does OpenTrain pricing work?
OpenTrain shows self-service pricing at a 15% platform fee and managed service pricing at a 20% management fee. The pricing page also says there are no per-task software fees, hidden markups, contracts, or minimums.
Do I have to use OpenTrain’s own annotation software?
No. OpenTrain says talent can work inside existing tools, including annotation platforms and custom environments, so teams do not need to migrate to a new system.
How are experts vetted?
OpenTrain says experts are vetted through live interviews and proctored testing, and managed programs include onboarding and ongoing QA. The site also describes AI screening, skills tests, and live interviews as part of the matching process.
Should I use self-service or managed service?
The site offers both self-service and managed service. Self-service is for teams that want to post jobs, review a curated shortlist, and manage talent directly; managed service is for teams that want OpenTrain to recruit, onboard, train, and manage the team.
Who owns the data and where does the work happen?
OpenTrain says it works inside your existing tools and that you can keep your data in your own environment. The managed-service page says the program lead operates inside your tools and that OpenTrain never touches your data.
Informations rapides
- Category
- AI training and data labeling platform
- Primary users
- AI labs, companies, freelancers, and labeling providers
- Pricing model
- Self-service 15% platform fee; managed service 20% management fee
- Source domain
- opentrain.ai
- Tooling model
- Works inside existing tools and custom annotation environments
- Network size
- 236,000+ pre-vetted experts
Analyse du trafic de OpenTrain AI
Les données de trafic sont fournies à titre indicatif uniquement.
- Évaluation du domaine
- 39
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