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OpenTrain AI

Source, vet, and pay 236,000+ AI trainers and data labelers

Model TrainingData AnalysisPaid
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Talent network connecting AI companies with 236,000+ pre-vetted AI trainers and data labelers for RLHF, LLM evaluation, red teaming, and annotation.

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OpenTrain AI Overview

What is OpenTrain AI?

A vetted talent marketplace and managed service for hiring human AI trainers, data labelers, and domain experts used to train, evaluate, and align AI models.

How to use OpenTrain AI?

Post a job describing your RLHF, evaluation, or annotation requirements. Review the curated shortlist of pre-screened experts matched to your domain and language needs. Hire and deploy them directly into your existing annotation tools, then manage work and payments through the OpenTrain workspace, or opt for a fully managed service that handles recruiting, onboarding, and QA.

Core features of OpenTrain AI

  • Pre-vetted network of 236,000+ AI trainers and data labelers across 190+ countries
  • AI-powered candidate matching, AI interviews, and domain skill testing
  • Self-service hiring or fully managed service with a dedicated program lead
  • Live proctored testing and human interviews for managed engagements
  • Built-in workspace for chat, docs, instructions, and progress tracking
  • Transparent global payments with a 15% self-service or 20% managed flat fee

Target audience of OpenTrain AI

AI DevelopersResearchersData Scientists

Use cases of OpenTrain AI

  • #1RLHF preference ranking, DPO pair generation, and reward model training data
  • #2LLM evaluation, hallucination audits, and benchmark creation
  • #3Red teaming, adversarial prompt crafting, and safety alignment testing
  • #4Domain expert annotation across math, medicine, law, finance, and engineering
  • #5Multimodal and multilingual data labeling across image, video, audio, and text

OpenTrain AI Details

OpenTrain AI is a talent network and managed service for sourcing, vetting, and deploying human contributors for AI training and data labeling. The platform connects AI labs and companies with more than 236,000 pre-vetted domain experts across 190+ countries and 120+ languages, including PhDs, engineers, clinicians, legal specialists, and creative professionals.

Hiring teams can post a job in minutes and receive a curated shortlist of candidates matched to their domain, language, and skill requirements. OpenTrain screens resumes, runs AI interviews, and conducts skills testing so reviewers only see qualified matches. A 15% flat platform fee applies for self-service hiring, while a 20% managed service option handles recruiting, onboarding, QA, and ongoing team management with a dedicated program lead.

The platform supports RLHF preference ranking, DPO pair generation, red teaming, hallucination audits, reasoning step verification, multilingual evaluation, and multimodal annotation across text, image, video, audio, and 3D. Experts deploy directly into existing annotation tools such as Label Studio, Argilla, CVAT, V7, Encord, or custom environments, with OpenTrain acting as a talent layer rather than a data processor. Pricing is transparent: 15% for self-service, 20% for managed service, with no bundled markups or per-task software charges.

OpenTrain AI Pricing

Pricing model
Paid
Starting price
15% flat platform fee
Self-Service
Post a job, get a curated shortlist, browse and hire from 236,000+ experts, manage your team directly on-platform, and pay talent through OpenTrain.
15% platform fee
Managed Service
Dedicated program lead, full recruiting, vetting, and onboarding, live proctored testing and interviews, ongoing QA and performance management, working inside your existing tools.
20% management fee

FAQ from OpenTrain AI

How much does OpenTrain cost?

15% for self-service and 20% for managed service, charged as flat fees on what you pay talent. There are no per-task software charges, no bundled markups, and no custom proposals required.

Do I have to use your annotation software?

No. OpenTrain provides people, not tools. Experts work directly inside whatever platform you already use, including Label Studio, Argilla, Encord, V7, CVAT, or your own custom tooling.

How do you verify that experts actually have domain expertise?

For managed service, every expert goes through live domain-specific testing with human proctors and a live interview. For self-service, candidates are pre-screened through AI matching and skills testing, and you run your own evaluation on the shortlist.

Should I use self-service or managed service?

Self-service is best when you have an internal team that can manage annotators directly. Managed service is best when you need OpenTrain to handle recruiting, vetting, onboarding, QA, and ongoing team management. Many clients start with self-service for a pilot and move to managed for production.

Who owns the data?

You do. OpenTrain never hosts, stores, or accesses your training datasets. Experts work inside your tools, and all data stays in your environment.

OpenTrain AI Website Traffic Analysis

Visit Over Time

Monthly Visits573.9K
Avg. Visit Duration03:11
Page per Visit3.89
Bounce Rate40.65%
Jun 2025 - May 2026 All Traffic

Geography

Top 5 Regions

📍Ethiopia
40.66%
📍Kenya
9.68%
📍United States
8.96%
📍India
5.99%
📍Indonesia
4.71%
Jun 2025 - May 2026 Desktop Only

Traffic Sources

Direct
50.21%
Organic Search
34.60%
Referrals
4.79%
Mail
4.74%
Organic Social
3.50%
GenAI
1.74%
Display Ads
0.27%
Paid Social
0.14%
Affiliate
0.00%
Paid Search
0.00%
Jun 2025 - May 2026 Worldwide Desktop Only

Top Keywords

KeywordTrafficCost Per Click
opentrain ai7.4K$ 4.58
ai training jobs32.9K$ 1.66
open train ai3.2K--
opentrain1.7K--
ai trainer jobs11.7K$ 1.09

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