Intermediate
Urban Road Object Detection Dataset
2500Contributors
79%Quality gate
$0.30Per task
Approved records1/3
Frontier models have run out of easy data. Human Loop is where AI teams scope a campaign, route it to contributors who actually qualify, hold the work to a quality bar, and export a dataset their legal team will sign off on.
New capability now depends on specific human judgment: preference between two plausible answers, regional speech nobody has recorded, a label only a radiologist can apply, an agent failing quietly on a real checkout page.
None of that is a scraping problem. It is an operations problem — sourcing, qualification, privacy, fraud, payments, review queues and clean delivery. Human Loop runs that loop end to end, so your researchers get a dataset instead of a vendor management project.
Consent and provenance are captured at collection time, not reconstructed later under legal pressure.
Every approved record carries its reviewer, quality score and payout entry. You can defend the dataset line by line.
Collection, annotation, evaluation, expert review and real-world testing — each with its own rubric, qualification and review path. Not a generic freelancer board.
Side-by-side judgment on accuracy, helpfulness, harm and refusal behaviour, with rationale captured on every record.
Accent-, dialect- and scenario-specific speech, recorded to spec with consent attached to each clip.
Consented multimodal capture with device metadata, so recordings arrive as data rather than footage.
Labels, bounding work, classification and visual QA with per-annotator agreement scores.
Humans run your agent through real workflows and report where it silently fails.
Guided multi-turn dialogue, ranked completions and structured conversation trees.
Define modality, task rules, contributor profile, budget and delivery format in one brief.
Route work only to contributors who pass language, locale, skill and qualification gates.
Run guided collection, annotation, evaluation and agent testing at campaign scale.
Gold tasks, duplicate detection, fraud signals and human review before anything counts.
Approve records and export structured CSV or JSONL with provenance and consent metadata.
Campaigns visible here are approved, funded and accepting contributors. Company names and briefs stay private until you qualify.
Collect original human-written answers to practical business and customer-support questions.
AI Agent Testing campaign for structured human intelligence collection.
Evaluate AI-generated customer-support replies before the model is deployed to production.
Annotate road images by identifying vehicles, pedestrians, bicycles and traffic objects.
Highlight important entities inside customer messages so an NLP model can learn products, dates, order numbers and contact details.
Evaluate pairs of AI support responses in Hindi and English for helpfulness, factuality, safety and clarity.
Hindi AI Response Evaluation campaign for structured human intelligence collection.
Classify customer messages into support intent categories for chatbot routing.
Image Classification campaign for structured human intelligence collection.
Every task passes qualification, reservation, submission, automatic scoring, human review and ledger entry before it is allowed to become dataset material.
Rejected work never reaches your export, and never silently costs you budget — reserved funds return to your wallet.
Write the brief, approve the plan, watch the loop run, export the dataset. Demo accounts are seeded — you can walk the whole flow in five minutes.