Jobgether

Jobgether

Project Epsilon - Somali Data Trainer

US · Contract

Sponsorship not specifiedDetected 1 day ago
NLPCompliance

About the role

  • The position involves reviewing visual content, interpreting information, and producing reliable reference answers based on clear guidelines.
  • You will work independently in a flexible remote environment while contributing to meaningful AI development projects.
  • The role is ideal for detail-oriented professionals who enjoy structured tasks and quality-focused work.

Responsibilities

  • Support from a global contributor community.

Requirements

  • Native or strong professional proficiency in Somali.
  • Fluent English proficiency, particularly in reading and writing.
  • Bachelor's degree required.
  • Ability to interpret visual information and provide precise written responses.
  • Ability to follow detailed instructions and apply guidelines consistently.
  • Previous experience in data annotation, data labeling, quality review, AI training, or similar fields is an advantage.
  • Analyze image content carefully to identify relevant details required to produce reliable "golden" answers.
  • Contribute to the improvement of AI systems by providing high-quality language and visual data expertise.
  • Access to optional AI and Large Language Model workshops designed for professionals, with no coding experience required.

Compensation

  • Competitive compensation of $24/hour.

Benefits

  • Remote freelance opportunity with flexible scheduling.

Company info

  • We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
  • Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
  • The final decision and next steps (interviews, assessments) are managed by their internal team.
  • We appreciate your interest and wish you the best!
  • Why Apply Through Jobgether?

This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.