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Aurelius Systems

Data Annotator (Contractor)

Posted 7 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
25-52 Hourly
Entry level
Remote
Hiring Remotely in USA
25-52 Hourly
Entry level
Remote contract role drawing and labeling bounding boxes on image datasets to train ML models. Maintain consistent quality, meet minimum output (500 annotations), follow guidelines, and report data issues. Pay-per-annotation at $0.05 each.
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Data Annotator – Bounding Box (Contract/Freelance)
About the Role
Aurelius Systems is looking for 2–3 detail-oriented contractors to join our data annotation team. In this role, you'll be drawing and labeling bounding boxes on image datasets used to train machine learning models. This is a remote, flexible, pay-per-annotation contract position.
Responsibilities

  • Accurately draw bounding boxes around specified objects in images according to provided guidelines

  • Maintain consistent labeling quality across large batches

  • Meet minimum output requirements in a fast and timely manner

  • Communicate any data quality issues or ambiguities to the team lead

Requirements

  • Strong attention to detail

  • Ability to follow precise labeling instructions

  • Reliable internet connection and a computer capable of running annotation tools

  • Ability to complete a minimum of 500 annotations per engagement

Previous annotation experience is a plus but not required
Compensation & Volume

  • Rate: $0.05 per bounding box annotation.

  • Volume: Batches are assigned as needed, with a minimum annotations per assignment.

  • Contract Type: 1099 contract position.

Our Process

The onboarding process for this role is straightforward:

  1. Apply: Submit your application for review.

  2. Screening Call: Have a quick 10- to 50-minute phone call with our perception engineer.

  3. Assessment: Go over a quick trial run and review our standard operating procedures.

  4. Onboarding: Move forward to the contract-to-hire agreement and receive your first batches to complete against the assigned time window.

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