Data Labeling Outsourcing Marketplace
Post a data labeling or data annotation RFP, then compare standardized proposals when relevant providers respond, all in one inbox.
Stop Sourcing Vendors Manually
Post one RFP for data labeling or data annotation and receive standardized proposals when relevant vendors respond. OpenTrain runs the marketplace; vendors deliver the labels.
Provider Consideration
Put one data labeling brief in front of relevant providers.
Describe your project once: scope, tools, languages, and team needs. The marketplace routes your data labeling outsourcing brief for consideration by relevant vendors and BPO partners. OpenTrain runs the marketplace; vendors deliver the labels.
Standardized Proposals
Compare data annotation outsourcing proposals side-by-side.
When providers respond, proposals use a consistent format: pricing model, team size, delivery timeline, tool expertise, and client references. The marketplace standardizes data annotation outsourcing quotes so you can shortlist in one inbox instead of chasing scattered emails or inconsistent formats.
Provider Profiles
Review provider details before you choose who to contact.
Browse provider profiles, compare proposal details, and message providers from one workflow before deciding who should run the work.
Direct Terms
Choose the commercial terms that fit the engagement.
OpenTrain helps with sourcing and proposals. The selected vendor runs delivery in the agreed tools, with payment terms handled according to the engagement.
Provider Profiles Across Major Annotation Platforms
Provider Profiles
Proposal Workspace
Annotation Platforms
How Data Labeling Outsourcing Works on OpenTrain.
Outsource your data labeling or data annotation through one RFP and compare responses from relevant vendors. OpenTrain runs the marketplace; the vendor you pick delivers the labels.
Step 01
Post Your RFP
Describe your project once: scope, annotation tools, languages, team size, and timeline. Your RFP is ready for relevant providers to consider.
- Structured RFP form: specify domains, tools, languages, and capacity needs
- Enough detail for providers to evaluate fit before responding
- No required sales call to post your brief.
Step 02
Relevant Vendors Review the Brief
OpenTrain routes your RFP for consideration by data labeling and LLM service providers that may fit your project requirements.
- Context by domain expertise, annotation tooling, language coverage, and capacity
- Profiles can show services, tools, and work examples
- Compare providers before deciding who to move forward with
Step 03
Compare Proposals Side-by-Side
When providers respond, they use the same standardized proposal format: pricing model, team size, delivery timeline, tool expertise, and client references. Compare in one inbox instead of chasing scattered emails.
- Standardized proposals with pricing, capacity, timelines, and references
- Message vendors directly to ask questions — all in one place
- Side-by-side comparison so you can build a shortlist
Step 04
Select Your Vendor and Start Working
Choose your vendor and begin the engagement on agreed terms. The selected vendor delivers the work in the tools you agree to use.
- Set commercial terms with the selected vendor
- Work happens in the tools you agree to use
- No exclusivity. Work with multiple vendors simultaneously if you need to.
Find Your Next Data Labeling Partner
Post an RFP and compare standardized proposals from data labeling vendors, BPOs, and LLM service providers when they respond.
求人を投稿し、あらゆるプラットフォームでエキスパートを採用
要件を記載すると、プロジェクトにマッチしたドメインエキスパートの厳選されたショートリストが届きます。定額15%、隠れた追加料金なし。
Outsource Any AI Data Program Through the Marketplace
Post an RFP for any project type below. The marketplace covers major AI data workstreams, from RLHF and evaluation to image, video, and document annotation, and routes your outsourcing brief for provider consideration.
ポストトレーニングとアラインメント
RLHFの選好ランキング、DPOペア生成、報酬モデルのトレーニングデータ。専門家がモデル出力を評価・順位付けし、モデルが良い出力とは何かを学習できるようにします。
推論と検証
Chain-of-Thought推論の専門家評価、プロセス報酬アノテーション、数学・コード・論理出力の検証。
レッドチーミングと安全性
敵対的プロンプト作成、ジェイルブレイク発見、バイアス評価、安全性アラインメントのテスト。
ドメイン専門家によるアノテーション
数学、医学、法律、金融、工学の博士号取得者と実務専門家が、専門家レベルのトレーニングデータを提供します。
評価とベンチマーク
モデル出力の人手評価、ベンチマーク作成、A/B選好テスト、継続的な品質モニタリング。
マルチモーダル・多言語
ビジョン、音声、動画、ドキュメントのアノテーションを、118以上の言語にわたるクロスモーダルアラインメントで提供します。
LLM＆エージェント
Find providers for RLHF, evaluation, preference data, red teaming, and code QA.
LLM評価 
AIレッドチーミング 
ハルシネーション監査 
RLHF＆選好データ 
教師ありファインチューニング 
コード生成レビュー 
関数呼び出し 
コンピュータ利用エージェントトレーニング 
推論ステップ検証 
多言語AIトレーニング 
推論問題の作成 
エージェントシミュレーション 
RL環境設計 データラベリング
Source vendors for image, video, LiDAR, document, text, and audio annotation at scale across any domain.
ドキュメントアノテーション 
画像アノテーション 
セグメンテーション 
動画アノテーション 
テキストアノテーション 
音声およびオーディオラベリング 
時系列データアノテーション 
点群アノテーション 
医療画像アノテーション 
衛星画像アノテーション Beyond core data labeling services the marketplace can outsource specialty programs as well — including RLHF services and LLM evaluation services. If you want OpenTrain to run the whole outsourcing program on top of the marketplace, our managed service can help with vendor selection, QA, and program management while vendors and freelancers still deliver the labels.
Data Labeling Outsourcing Marketplace FAQ
Common questions about outsourcing data labeling and data annotation through OpenTrain.