Get the data and AI work done.

Find data, participants, labelers, and testers for a clear job—then check quality before you commit.

Label a set of product photos

Find a team to label 25,000 product photos using this guide. Start with a paid test, check accuracy, and agree on timing, review, corrections, privacy, and price.

Labeling guide.pdf

Collect everyday phone photos

Recruit people who match these locations and phone types to contribute consented photos for the listed situations. Set clear instructions, payment, privacy, quality checks, and replacement rules.

Transcribe customer calls

Find a secure transcription service for 300 hours of calls. Test a sample first, then compare accuracy, speaker labels, turnaround, data handling, corrections, and cost.

Translate a training set

Find native speakers to translate and review this dataset in five languages. Run a small test, agree on style and hard terms, and measure quality before scaling.

Translation sample.csv

Recruit people to test my app

Find 30 people who match these user profiles. Have them complete the key tasks, record where they struggle, and deliver clear notes with consent and payment handled.

Tester profiles.pdf

Test whether my chatbot is helpful

Find people who regularly do these tasks and have them try the chatbot on realistic questions. Score usefulness, accuracy, tone, and what they would do next.

Find a dataset I can legally use

Find datasets that cover these places and categories and allow commercial AI use. Compare source, coverage, quality, update schedule, restrictions, and total license price.

Data needs.pdf

Have experts write test questions

Find qualified professionals to write difficult test questions for this model. Check credentials, pay for a sample, require independent review, and secure the rights to use the final set.

Collect speech from real environments

Recruit consented speakers across these accents, ages, devices, and noise levels. Compare partners on participant quality, recording checks, transcription, privacy, and accepted-minute cost.

Clean up a messy customer list

Find a service to merge duplicates, standardize fields, and flag uncertain records in this customer list. Test a copy first and agree on security, review, and error correction.

Field guide.xlsx

Create rare examples safely

Find a team that can create realistic examples of these rare situations without copying private data. Require a sample and a simple check that the examples improve the model.

Try to break my AI feature

Find independent testers who understand this kind of product. Give them the allowed scope, have them look for harmful or unreliable behavior, and return reproducible findings.

Compare two model answers

Recruit qualified reviewers to compare answers from two models on real tasks. Hide which model produced each answer and capture the reason behind every choice.

Run a quick audience survey

Recruit 500 people who match this audience and ask these questions without leading them. Check response quality and return results by the agreed groups.

Survey draft.pdf

Fill a missing data category

We need 8,000 more accepted examples of this category within four weeks. Find the best mix of licensed data, new collection, and human review that meets the quality bar and budget.