# Hire AI Trainers & Data Labelers | OpenTrain AI

> Markdown mirror of DialtoneApp's public top-site detail page for `opentrain.ai`.

URL: https://dialtoneapp.com/top-sites/opentrain.ai/index.md
Canonical HTML: https://dialtoneapp.com/top-sites/opentrain.ai

## Summary

- Domain: `opentrain.ai`
- Website: https://opentrain.ai
- Description: ai readable | score 30 | purchase read only
- Label: ai_readable
- Payment surface: Not available
- Purchase boundary: read_only
- Control boundary: unknown
- Rank: 532672

## robots

~~~text
User-agent: *
Allow: /
Allow: /papers/
Disallow: /api/
Disallow: /_astro/


Sitemap: https://www.opentrain.ai/sitemap-index.xml
Sitemap: https://www.opentrain.ai/sitemap-hfepx.xml
Sitemap: https://www.opentrain.ai/sitemap-papers.xml
Sitemap: https://www.opentrain.ai/sitemap-profile.xml
Sitemap: https://www.opentrain.ai/docs/sitemap.xml
~~~

## llms

~~~text
# OpenTrain AI

> OpenTrain is the #1 talent network for AI training and data labeling. We connect AI teams with 100,000+ pre-vetted domain experts across 130 countries and 70+ languages for LLM evaluation, RLHF, red teaming, data annotation, and more. Companies post a job, get a curated shortlist of qualified AI Trainers, and manage their team in the tools they already use.

OpenTrain serves two sides of the AI training market:

- **For AI teams**: Post a project and hire pre-vetted AI Trainers and Data Labelers. Self-service hiring or fully managed programs with SLA options.
- **For AI Trainers**: Find AI training and data labeling projects across platforms, all in one place. One profile, one application process, more opportunities.

## Research Tools

OpenTrain provides two free research tools with structured, machine-readable data:

### Paper2Code Finder

Find the best open-source implementation for any AI research paper. Each paper page provides:
- **Best implementation ranking** with confidence scores and maintenance status
- **Reproduction readiness** tier (ready_to_run / setup_required / major_work)
- **Benchmark numbers** tied to paper evidence (not hallucinated)
- **Time-to-reproduce** estimates (hours / days / unknown)
- **Hardware requirements** and risk flags
- **Hugging Face artifacts** (models, datasets, spaces)

**JSON API for AI agents:**
```
GET https://www.opentrain.ai/papers/{paperKey}.json
```
Returns structured JSON with: bestImplementation, reproductionReadiness, benchmarks, riskFlags, hardwareNotes.

Paper keys use the format `arxiv-{id}` (e.g., `arxiv-1706.03762` for "Attention Is All You Need").

**Example requests:**
- `https://www.opentrain.ai/papers/arxiv-1706.03762.json` — Transformer paper
- `https://www.opentrain.ai/papers/arxiv-2103.00020.json` — CLIP paper

**Search API:**
```
GET https://marketing-research-api.weston-114.workers.dev/api/search?q={query}&limit=8
```

**Resolve paper by arXiv ID, DOI, or title:**
```
POST https://marketing-research-api.weston-114.workers.dev/api/papers/resolve
Body: { "input": "2103.00020" }
```

### HF Eval Papers Explorer (HFEPX)

Browse and compare human evaluation protocols across AI research papers. Each paper includes:
- **Evaluation methodology extraction**: human feedback types, evaluation modes, quality controls
- **Benchmark and metric coverage**
- **Rater population and annotation unit details**
- **Confidence scoring** for extraction quality
- **Related papers** by protocol overlap

Browse at: `https://www.opentrain.ai/tools/hf-eval-papers/`

**Search API:**
```
GET https://marketing-research-api.weston-114.workers.dev/api/hfepx/search?q={query}&limit=8
```

### What These Tools Provide That LLMs Don't

1. **Real-time repo status** — Stars, last push date, CI, Docker, archived status (checked regularly, not training-data stale)
2. **Curated implementation ranking** — Confidence-scored recommendations, not guesses
3. **Grounded benchmark numbers** — Extracted from paper tables and repo READMEs with evidence references
4. **Reproduction time estimates** — Hours vs. days vs. unknown, based on infrastructure analysis
5. **Cross-source artifact linking** — Paper → repos → HF models → datasets in one view

## Key Pages

- [Homepage](https://www.opentrain.ai/): Overview of the platform, talent network stats, and getting started
- [How It Works](https://www.opentrain.ai/how-it-works/): Step-by-step explanation of the hiring process
- [Pricing](https://www.opentrain.ai/pricing/): Pricing plans and feature comparison
- [Solutions Overview](https://www.opentrain.ai/solutions/): All AI training and data labeling solution categories
- [Integrations](https://www.opentrain.ai/integrations/): Supported annotation and labeling platforms
- [Managed Service](https://www.opentrain.ai/managed-service/): End-to-end managed programs for large or complex projects
- [Paper2Code Finder](https://www.opentrain.ai/papers/): Search for any paper by identifier or title
- [HF Eval Papers Explorer](https://www.opentrain.ai/tools/hf-eval-papers/): Browse evaluation protocols
- [AI Glossary](https://www.opentrain.ai/glossary/abductive-reasoning/): 439 AI and machine learning terms defined

## LLM & Agent Solutions

- [LLM Evaluation](https://www.opentrain.ai/solutions/llm-evaluation/): Golden datasets, pairwise ranking, rubric scoring, judge validation, and more
- [RLHF & Preference Data](https://www.opentrain.ai/solutions/rlhf-and-preference-data/): Pairwise ranking, multi-criteria scoring, rewrites, failure tagging, and more
- [Red Teaming](https://www.opentrain.ai/solutions/ai-red-teaming/): Jailbreaks, prompt injection, policy bypass, data leakage, and more
- [Hallucination Audits](https://www.opentrain.ai/solutions/hallucination-audits/): Claim verification, citation checking, severity scoring, and more
- [Supervised Fine-Tuning](https://www.opentrain.ai/solutions/supervised-fine-tuning/): Instruction data creation, domain verification, synthetic data QA, and more
- [Code Generation Review](https://www.opentrain.ai/solutions/code-generation-review/): Verification, RLHF ranking, bug detection, security review, and more
- [Function Calling](https://www.opentrain.ai/solutions/function-calling/): Tool selection, argument annotation, multi-step traces, error recovery, and more
- [Agent Simulations](https://www.opentrain.ai/solutions/agent-simulations/): Scenario design, gold trajectories, rollout evaluation, failure tagging, and more
- [Computer Use Agent Training](https://www.opentrain.ai/solutions/computer-use-agent-training/): Trajectory data and evaluation for browser and desktop agents
- [Reasoning Problem Creation](https://www.opentrain.ai/solutions/reasoning-problem-creation/): Original problems with step-by-step solutions in math, code, and more
- [Reasoning Step Verification](https://www.opentrain.ai/solutions/reasoning-step-verification/): Step-level correctness labels for training process reward models
- [RL Environment Design](https://www.opentrain.ai/solutions/rl-environment-design/): Reward functions, training scenarios, and environment QA for RL agents
- [Multilingual AI Training](https://www.opentrain.ai/solutions/multilingual-ai-training/): Native-speaker RLHF, evaluation, prompt writing, and more across 100+ languages

## Data Labeling Solutions

- [Image Annotation](https://www.opentrain.ai/solutions/image-annotation/)
- [Video Annotation](https://www.opentrain.ai/solutions/video-annotation/)
- [Document Annotation](https://www.opentrain.ai/solutions/document-annotation/)
- [Segmentation](https://www.opentrain.ai/solutions/segmentation/)
- [Text Annotation](https://www.opentrain.ai/solutions/text-annotation/)
- [Medical Imaging Annotation](https://www.opentrain.ai/solutions/medical-imaging-annotation/)
- [Satellite Imagery Annotation](https://www.opentrain.ai/solutions/satellite-imagery-annotation/)
- [Point Cloud Annotation](https://www.opentrain.ai/solutions/point-cloud-annotation/)
- [Speech and Audio Labeling](https://www.opentrain.ai/solutions/speech-and-audio-labeling/)
- [Time Series Annotation](https://www.opentrain.ai/solutions/time-series-annotation/)

## Supported Integrations

- [Label Studio](https://www.opentrain.ai/integrations/label-studio/)
- [Roboflow](https://www.opentrain.ai/integrations/roboflow/)
- [AWS SageMaker](https://www.opentrain.ai/integrations/aws-sagemaker-groundtruth/)
- [CVAT](https://www.opentrain.ai/integrations/cvat/)
- [Scale Studio](https://www.opentrain.ai/integrations/scale-ai/)
- [SuperAnnotate](https://www.opentrain.ai/integrations/superannotate/)
- [Encord](https://www.opentrain.ai/integrations/encord/)
- [Argilla](https://www.opentrain.ai/integrations/argilla/)
- [Dataloop](https://www.opentrain.ai/integrations/dataloop/)
- [Kili Technology](https://www.opentrain.ai/integrations/kili-technology/)
- [Prodigy](https://www.opentrain.ai/integrations/prodigy/)
- [Snorkel AI](https://www.opentrain.ai/integrations/snorkel-ai/)
- [Supervisely](https://www.opentrain.ai/integrations/supervisely/)
- [Datasaur](https://www.opentrain.ai/integrations/datasaur/)
- [Datature](https://www.opentrain.ai/integrations/datature/)
- [Your Custom Tool](https://www.opentrain.ai/integrations/custom-tool/): Bring your own annotation platform

## Optional

- [Contact](https://www.opentrain.ai/contact/)
- [Get a Quote](https://www.opentrain.ai/get-a-quote/)
- [Become a Freelancer](https://www.opentrain.ai/become-freelancer/)
- [Privacy Policy](https://www.opentrain.ai/privacy/)
- [Terms of Service](https://www.opentrain.ai/terms-of-service/)
~~~

## llms-full

~~~text
# OpenTrain AI — Full Documentation

> OpenTrain is the #1 talent network for AI training and data labeling. We connect AI teams with 100,000+ pre-vetted domain experts across 130 countries and 70+ languages for LLM evaluation, RLHF, red teaming, data annotation, and more.

Website: https://www.opentrain.ai
Contact: contact@opentrain.ai
LinkedIn: https://www.linkedin.com/company/opentrain/
X/Twitter: https://x.com/OpenTrainAI

## About OpenTrain

OpenTrain is a talent marketplace that connects AI companies with pre-vetted AI Trainers and Data Labelers. The platform solves the challenge of finding qualified human experts for AI training tasks — from LLM evaluation and RLHF preference data to image annotation and document labeling.

Key stats:
- 100,000+ pre-vetted AI data experts
- 130+ countries represented
- 70+ languages supported
- Experts in LLM evaluation, RLHF, red teaming, data labeling, and more

### How It Works

1. **Post a Job**: Describe your AI training project, required skills, and tools. Free to post.
2. **Get a Curated Shortlist**: Every applicant goes through an AI-powered screening interview. You receive a ranked shortlist of qualified, pre-vetted AI Trainers.
3. **Hire and Manage**: Bring talent into the annotation or evaluation tools you already use. No vendor lock-in — OpenTrain experts work in your tools, not ours.

Learn more: https://www.opentrain.ai/how-it-works/

### Two Ways to Work with OpenTrain

**Self-Service Platform**: Post a project and hire AI Trainers directly. You manage the team in your own tools. Free to post; pay only for the talent you hire.

**Managed Service**: For large or complex projects. OpenTrain recruits, onboards, and manages a dedicated team inside your tools. End-to-end operations with SLA options for throughput and response time. Dedicated project manager included.

Learn more about Managed Service: https://www.opentrain.ai/managed-service/
Request a quote: https://www.opentrain.ai/get-a-quote/

### Pricing

- **Self-Service**: Free to post jobs and browse talent. Pay per hour for AI Trainers you hire. No platform fees.
- **Managed Service**: Custom pricing based on project scope, team size, and SLA requirements. Includes recruiting, onboarding, QA, and project management.

Full pricing details: https://www.opentrain.ai/pricing/

---

## LLM & Agent Solutions

These solutions support teams building, evaluating, and improving large language models and AI agents.

### LLM Evaluation
Hire expert evaluators for golden dataset creation, pairwise ranking, rubric-based scoring, judge model validation, and evaluation pipeline QA. Evaluators assess factual accuracy, reasoning quality, safety compliance, and instruction following.
URL: https://www.opentrain.ai/solutions/llm-evaluation/

### RLHF & Preference Data
Hire domain experts for pairwise preference ranking, multi-criteria scoring, response rewrites, failure tagging, and preference data QA. Essential for training reward models and improving LLM output quality through human feedback.
URL: https://www.opentrain.ai/solutions/rlhf-and-preference-data/

### Red Teaming
Hire security specialists and domain experts for jailbreak testing, prompt injection attempts, policy bypass detection, data leakage probing, and adversarial evaluation. Critical for identifying vulnerabilities before deployment.
URL: https://www.opentrain.ai/solutions/ai-red-teaming/

### Hallucination Audits
Hire fact-checkers and domain experts for claim verification, citation checking, severity scoring, and hallucination taxonomy labeling. Ensures LLM outputs are grounded in factual information.
URL: https://www.opentrain.ai/solutions/hallucination-audits/

### Supervised Fine-Tuning
Hire experts for instruction data creation, domain-specific verification, synthetic data quality assurance, and training dataset curation. Covers prompt-response pair authoring and dataset cleaning.
URL: https://www.opentrain.ai/solutions/supervised-fine-tuning/

### Code Generation Review
Hire programmers for code verification, RLHF ranking of code outputs, bug detection, security review, and code quality assessment. Supports training coding assistants and code generation models.
URL: https://www.opentrain.ai/solutions/code-generation-review/

### Function Calling
Hire specialists for tool selection annotation, argument labeling, multi-step trace verification, error recovery labeling, and function calling evaluation. Essential for training AI agents that use tools.
URL: https://www.opentrain.ai/solutions/function-calling/

### Agent Simulations
Hire task designers, trajectory reviewers, and gold-trace operators for scenario design, gold trajectory creation, rollout evaluation, failure tagging, and agent behavior assessment across web, OS, and custom sandboxes.
URL: https://www.opentrain.ai/solutions/agent-simulations/

### Computer Use Agent Training
Hire specialists to create trajectory data and perform evaluation for browser and desktop agents. Covers UI interaction traces, task completion verification, and cross-platform testing.
URL: https://www.opentrain.ai/solutions/computer-use-agent-training/

### Reasoning Problem Creation
Hire mathematicians, scientists, and programmers to create original problems with step-by-step solutions in math, code, logic, and science domains. Used for training and benchmarking reasoning capabilities.
URL: https://www.opentrain.ai/solutions/reasoning-problem-creation/

### Reasoning Step Verification
Hire experts to provide step-level correctness labels for training process reward models (PRMs). Each step in a reasoning chain is labeled for logical validity and factual accuracy.
URL: https://www.opentrain.ai/solutions/reasoning-step-verification/

### RL Environment Design
Hire specialists to design reward functions, create training scenarios, and QA environments for reinforcement learning agents. Covers reward shaping, curriculum design, and environment validation.
URL: https://www.opentrain.ai/solutions/rl-environment-design/

### Multilingual AI Training
Hire native speakers across 100+ languages for RLHF, evaluation, prompt writing, translation quality assessment, and cultural accuracy checking. Supports building globally capable AI systems.
URL: https://www.opentrain.ai/solutions/multilingual-ai-training/

---

## Data Labeling Solutions

These solutions support teams building computer vision, NLP, and multimodal AI models.

### Image Annotation
Hire annotators for bounding boxes, polygons, keypoints, image classification, attribute labeling, and quality assurance. Covers object detection, pose estimation, and scene understanding tasks.
URL: https://www.opentrain.ai/solutions/image-annotation/

### Video Annotation
Hire annotators for object tracking, temporal event labeling, action recognition, scene classification, and annotation QA. Supports autonomous driving, surveillance, sports analytics, and media applications.
URL: https://www.opentrain.ai/solutions/video-annotation/

### Document Annotation
Hire specialists for entity extraction, table structure labeling, grounded question answering, document classification, and OCR verification. Supports document AI and information extraction.
URL: https://www.opentrain.ai/solutions/document-annotation/

### Segmentation
Hire annotators for pixel-level semantic segmentation, instance segmentation, and panoptic segmentation. Covers automotive, medical, agricultural, and industrial applications.
URL: https://www.opentrain.ai/solutions/segmentation/

### Text Annotation
Hire linguists and domain experts for named entity recognition, sentiment analysis, text classification, relation extraction, and content moderation across 70+ languages.
URL: https://www.opentrain.ai/solutions/text-annotation/

### Medical Imaging Annotation
Hire clinicians and imaging specialists for segmentation and labeling of CT, MRI, pathology slides, X-ray, ultrasound, and other medical imaging modalities. HIPAA-aware workflows available.
URL: https://www.opentrain.ai/solutions/medical-imaging-annotation/

### Satellite Imagery Annotation
Hire GIS specialists for mapping-grade labels for geospatial AI and Earth observation. Covers land use classification, object detection, change detection, and infrastructure mapping.
URL: https://www.opentrain.ai/solutions/satellite-imagery-annotation/

### Point Cloud Annotation
Hire 3D annotation specialists for cuboid labeling, point cloud segmentation, object tracking, sensor fusion, and LiDAR data processing. Supports autonomous vehicles and robotics.
URL: https://www.opentrain.ai/solutions/point-cloud-annotation/

### Speech and Audio Labeling
Hire linguists for audio transcription, speaker diarization, audio event labeling, emotion detection, and quality assessment across multiple languages and accents.
URL: https://www.opentrain.ai/solutions/speech-and-audio-labeling/

### Time Series Annotation
Hire domain experts for event labeling, anomaly detection, pattern classification, and temporal segmentation across sensor data from manufacturing, healthcare, finance, and IoT applications.
URL: https://www.opentrain.ai/solutions/time-series-annotation/

---

## Research Tools (Free)

OpenTrain provides two free research tools for AI researchers and AI agents.

### Paper2Code Finder

Find the best open-source implementation for any AI research paper. Covers 4,500+ papers with structured, machine-readable data.

**What it provides (that LLMs don't have):**
- Real-time repository status (stars, last push, CI, Docker, archived — checked regularly, not training-data stale)
- Curated "best implementation" ranking with confidence scores
- Benchmark numbers tied to paper evidence (not hallucinated)
- Reproduction readiness tiers: ready_to_run, setup_required, or major_work
- Time-to-reproduce estimates (hours / days / unknown)
- Hardware requirements and risk flags
- Cross-source artifact linking: paper → repos → HF models → datasets

**JSON API for AI agents:**
```
GET https://www.opentrain.ai/papers/{paperKey}.json
```
Returns structured JSON: bestImplementation, reproductionReadiness, benchmarks, riskFlags, hardwareNotes, hfArtifacts, lastChecked.

Paper keys use the format `arxiv-{id}` (e.g., `arxiv-1706.03762` for "Attention Is All You Need").

**Search API:**
```
GET https://marketing-research-api.weston-114.workers.dev/api/search?q={query}&limit=8
```

**Resolve paper by arXiv ID, DOI, or title:**
```
POST https://marketing-research-api.weston-114.workers.dev/api/papers/resolve
Body: { "input": "2103.00020" }
```

**MCP Server:** Install `@opentrain/research-mcp` to query paper data directly from Claude, Cursor, or any MCP client.

Browse papers: https://www.opentrain.ai/papers/
Example: https://www.opentrain.ai/papers/arxiv-1706.03762.json

### HF Eval Papers Explorer (HFEPX)

Browse and compare human evaluation protocols across 700+ AI research papers. Each paper includes extracted evaluation methodology: human feedback types, evaluation modes, quality controls, benchmarks, metrics, rater population, and confidence scoring.

**Search API:**
```
GET https://marketing-research-api.weston-114.workers.dev/api/hfepx/search?q={query}&limit=8
```

Browse: https://www.opentrain.ai/tools/hf-eval-papers/

---

## Additional Service Pages

### Hire Freelance Data Labelers
Find and hire pre-vetted freelance data labelers for any annotation or labeling project. Browse profiles, check skills and tool expertise, and hire directly.
URL: https://www.opentrain.ai/hire-freelance-data-labelers/

### Data Labeling Solutions Overview
Comprehensive overview of data labeling solutions for computer vision, NLP, audio, and multimodal AI projects.
URL: https://www.opentrain.ai/data-labeling-solutions/

### LLM & Agent Solutions Overview
Overview of solutions for LLM evaluation, RLHF, red teaming, fine-tuning, and AI agent training.
URL: https://www.opentrain.ai/llm-agent-solutions/

### Data Labeling Outsourcing Marketplace
Outsource data labeling to vetted providers and freelancers. Compare providers, read reviews, and find the right team for your project.
URL: https://www.opentrain.ai/data-labeling-outsourcing-marketplace/

### List Your Data Labeling Company
Data labeling companies can list their services on the OpenTrain marketplace to reach AI teams looking for annotation providers.
URL: https://www.opentrain.ai/list-your-data-labeling-company/

---

## Supported Integrations

OpenTrain experts can work in any annotation or evaluation platform. Supported integrations include:

- **Label Studio** (https://www.opentrain.ai/integrations/label-studio/) — Open-source data labeling platform
- **Roboflow** (https://www.opentrain.ai/integrations/roboflow/) — Computer vision annotation and model training
- **AWS SageMaker Ground Truth** (https://www.opentrain.ai/integrations/aws-sagemaker-groundtruth/) — Amazon's managed data labeling service
- **CVAT** (https://www.opentrain.ai/integrations/cvat/) — Open-source annotation tool for computer vision
- **Scale Studio** (https://www.opentrain.ai/integrations/scale-ai/) — Enterprise data labeling platform
- **SuperAnnotate** (https://www.opentrain.ai/integrations/superannotate/) — AI-powered annotation platform
- **Encord** (https://www.opentrain.ai/integrations/encord/) — Data-centric AI platform
- **Argilla** (https://www.opentrain.ai/integrations/argilla/) — Open-source feedback and evaluation tool for LLMs
- **Dataloop** (https://www.opentrain.ai/integrations/dataloop/) — Data management and annotation platform
- **Kili Technology** (https://www.opentrain.ai/integrations/kili-technology/) — Data labeling and quality management
- **Prodigy** (https://www.opentrain.ai/integrations/prodigy/) — Annotation tool by Explosion AI
- **Snorkel AI** (https://www.opentrain.ai/integrations/snorkel-ai/) — Programmatic labeling and data-centric AI
- **Supervisely** (https://www.opentrain.ai/integrations/supervisely/) — Computer vision platform
- **Datasaur** (https://www.opentrain.ai/integrations/datasaur/) — NLP and text annotation platform
- **Datature** (https://www.opentrain.ai/integrations/datature/) — End-to-end computer vision platform
- **Your Custom Tool** (https://www.opentrain.ai/integrations/custom-tool/) — Bring your own annotation platform; OpenTrain experts work in whatever tools you use

---

## AI Glossary

OpenTrain maintains a comprehensive glossary of 439 AI and machine learning terms. Topics covered include machine learning fundamentals, neural network architectures, natural language processing, computer vision, reinforcement learning, data annotation methodology, AI safety, and more. Each entry includes a definition, detailed explanation, and practical example.

Browse the glossary: https://www.opentrain.ai/glossary/abductive-reasoning/

---

## Contact

- **Email**: contact@opentrain.ai
- **Contact Page**: https://www.opentrain.ai/contact/
- **Get a Managed Service Quote**: https://www.opentrain.ai/get-a-quote/
- **Create Account**: https://app.opentrain.ai/?key=signup
- **Sign In**: https://app.opentrain.ai/?key=login
~~~