AI & Automation

Hire Data Annotators

Data annotators label images, text, audio and video so machine learning models have accurate examples to learn from and be tested against.

The role

What data annotators do

An annotator follows labelling guidelines to draw boxes, tag entities, classify text or transcribe audio, and flags unclear cases. Consistency matters more than speed, so good annotation work includes quality checks and agreement between labellers.

Typical deliverables

  • Labelled datasets in your required format
  • Bounding boxes, polygons or segmentation masks
  • Text classification and entity tags
  • Quality review and agreement checks
  • Notes on ambiguous cases

Tools you will see

  • CVAT
  • Label Studio
  • Labelbox
  • Roboflow
  • Spreadsheets for text labels

Choosing

How to choose data annotators

What to look for

  • Accuracy on a small paid test batch before larger work.
  • Questions about unclear guidelines.
  • Experience with your data type and labelling tool.
  • Their own quality checks.

Questions to ask

  1. 1How do you handle examples the guidelines do not cover?
  2. 2Which labelling tools have you used?
  3. 3How do you check your own consistency?
  4. 4How many items can you label accurately per day?

Planning

Before you post the job

Write guidelines

Clear labelling guidelines with examples reduce errors more than anything else. Start with a test batch.

What drives cost

Data type, label complexity, volume, required accuracy and review steps.

Hiring on Open Lance

  • Posting a job and reviewing proposals are free.
  • Each milestone is funded into escrow before work starts and paid when you approve it.
  • Hire fixed-price, hourly, as a monthly Dedicated Hire, or buy a packaged Drop-In.
  • Client fees are shown before you pay and added on top of the work.

How escrow and approval work · Pricing

FAQ

Questions about hiring data annotators

Can annotation be done with AI assistance?

Yes, pre-labelling can speed work up, but human review is needed for accuracy.

How do we check quality?

Review a sample, compare labels from different people, and track error rates.

What about confidential data?

Agree access controls and confidentiality before sharing data.

Related

Related skills

Post a job for data annotators

Describe the work and compare proposals. You only fund the first milestone once you have chosen someone.

Post a job