Remote AI Annotation Pod Lead - Flexible, Project-Based

Turing

Turkey

Remote

TRY 1,029,000 - 2,743,000

Full time

4 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule
Project-based work
Weekend task availability

Job summary

Turing is seeking a freelance lead annotator to manage a small team of annotators, ensuring timely, high-quality delivery in a fast-paced environment. You will guide daily pod activities, clarify guidelines, onboard new annotators, and report progress to the Team Lead.

The role emphasizes strong attention to detail, ability to follow complex instructions, and collaborative communication to solve problems in annotation, data labeling, or AI training data contexts.

Qualifications

  • 2–4 years of experience in related roles.
  • Experience leading, mentoring, or coordinating team members.
  • Strong attention to detail and ability to follow complex instructions.
  • Supportive communication and problem-solving skills.

Responsibilities

  • Manage daily pod activities and support annotators when required.
  • Address guideline questions and recurring issues.
  • Conduct weekly team calls and communicate project updates.
  • Onboard and support new annotators during their initial tasks.
  • Track pod performance and flag recurring quality concerns.
  • Coordinate retraining and confirm annotator readiness.
  • Report progress, blockers, and support requirements to the Team Lead.

Skills

Team leadership
Attention to detail
Communication skills
Problem solving

Tools

Annotation tools
Data labeling platforms

Job description

Turing is seeking a freelance lead annotator to manage a small team of annotators, ensuring timely, high-quality delivery in a fast-paced environment. You will guide daily pod activities, clarify guidelines, onboard new annotators, and report progress to the Team Lead.

The role emphasizes strong attention to detail, ability to follow complex instructions, and collaborative communication to solve problems in annotation, data labeling, or AI training data contexts.

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